from keras.utils import np_utils
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Activation
import matplotlib.pyplot as plt
import numpy as np
np.random.seed(3)
%matplotlib inline
# 分离数据集
(x_train, y_train), (x_test, y_test)=mnist.load_data()
x_val=x_train[50000:]
y_val=y_train[50000:]
x_train=x_train[:50000]
y_train=y_train[:50000]
# 值归一
x_train=x_train.reshape(50000, 784).astype('float32')/255
x_val=x_val.reshape(10000,784).astype('float32')/255
x_test=x_test.reshape(10000, 784).astype('float32')/255
# 多值变哑变量矩阵
y_train=np_utils.to_categorical(y_train)
y_val=np_utils.to_categorical(y_val)
y_test=np_utils.to_categorical(y_test)
# 抽选部分数据
train_rand_idxs=np.random.choice(50000, 700)
val_rand_idxs=np.random.choice(10000, 300)
x_train=x_train[train_rand_idxs]
y_train=y_train[train_rand_idxs]
x_val=x_val[val_rand_idxs]
y_val=y_val[val_rand_idxs]
model = Sequential()
model.add(Dense(units=2, input_dim=28*28, activation='relu'))
model.add(Dense(units=10, activation='softmax'))
model.compile(loss='categorical_crossentropy', optimizer='sgd', metrics=['accuracy'])
hist=model.fit(x_train, y_train, epochs=1000, batch_size=10, validation_data=(x_val, y_val))
WARNING:tensorflow:From D:\Programing\Anaconda3\envs\tf1_env\lib\site-packages\tensorflow\python\ops\math_grad.py:1250: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.where in 2.0, which has the same broadcast rule as np.where WARNING:tensorflow:From D:\Programing\Anaconda3\envs\tf1_env\lib\site-packages\keras\backend\tensorflow_backend.py:986: The name tf.assign_add is deprecated. Please use tf.compat.v1.assign_add instead. Train on 700 samples, validate on 300 samples Epoch 1/1000 700/700 [==============================] - 2s 3ms/step - loss: 2.2576 - acc: 0.1643 - val_loss: 2.2272 - val_acc: 0.1633 Epoch 2/1000 700/700 [==============================] - 0s 470us/step - loss: 2.2072 - acc: 0.1657 - val_loss: 2.1908 - val_acc: 0.1800 Epoch 3/1000 700/700 [==============================] - 0s 458us/step - loss: 2.1730 - acc: 0.1729 - val_loss: 2.1631 - val_acc: 0.1867 Epoch 4/1000 700/700 [==============================] - 0s 556us/step - loss: 2.1441 - acc: 0.1786 - val_loss: 2.1372 - val_acc: 0.1867 Epoch 5/1000 700/700 [==============================] - 0s 456us/step - loss: 2.1177 - acc: 0.1900 - val_loss: 2.1141 - val_acc: 0.1867 Epoch 6/1000 700/700 [==============================] - 0s 490us/step - loss: 2.0940 - acc: 0.2029 - val_loss: 2.0931 - val_acc: 0.2033 Epoch 7/1000 700/700 [==============================] - 0s 510us/step - loss: 2.0721 - acc: 0.2071 - val_loss: 2.0727 - val_acc: 0.2067 Epoch 8/1000 700/700 [==============================] - 0s 569us/step - loss: 2.0520 - acc: 0.2129 - val_loss: 2.0564 - val_acc: 0.2067 Epoch 9/1000 700/700 [==============================] - 0s 510us/step - loss: 2.0342 - acc: 0.2157 - val_loss: 2.0410 - val_acc: 0.2033 Epoch 10/1000 700/700 [==============================] - 0s 521us/step - loss: 2.0190 - acc: 0.2143 - val_loss: 2.0269 - val_acc: 0.2067 Epoch 11/1000 700/700 [==============================] - 0s 558us/step - loss: 2.0041 - acc: 0.2186 - val_loss: 2.0125 - val_acc: 0.2100 Epoch 12/1000 700/700 [==============================] - 0s 567us/step - loss: 1.9911 - acc: 0.2200 - val_loss: 2.0037 - val_acc: 0.2100 Epoch 13/1000 700/700 [==============================] - 0s 476us/step - loss: 1.9789 - acc: 0.2286 - val_loss: 1.9955 - val_acc: 0.2100 Epoch 14/1000 700/700 [==============================] - 0s 460us/step - loss: 1.9685 - acc: 0.2329 - val_loss: 1.9833 - val_acc: 0.2067 Epoch 15/1000 700/700 [==============================] - 0s 515us/step - loss: 1.9582 - acc: 0.2214 - val_loss: 1.9753 - val_acc: 0.2100 Epoch 16/1000 700/700 [==============================] - 0s 453us/step - loss: 1.9484 - acc: 0.2357 - val_loss: 1.9686 - val_acc: 0.2000 Epoch 17/1000 700/700 [==============================] - 0s 459us/step - loss: 1.9393 - acc: 0.2343 - val_loss: 1.9612 - val_acc: 0.2033 Epoch 18/1000 700/700 [==============================] - 0s 543us/step - loss: 1.9309 - acc: 0.2314 - val_loss: 1.9537 - val_acc: 0.2100 Epoch 19/1000 700/700 [==============================] - 0s 473us/step - loss: 1.9232 - acc: 0.2286 - val_loss: 1.9452 - val_acc: 0.2100 Epoch 20/1000 700/700 [==============================] - 0s 479us/step - loss: 1.9156 - acc: 0.2386 - val_loss: 1.9392 - val_acc: 0.2100 Epoch 21/1000 700/700 [==============================] - 0s 529us/step - loss: 1.9085 - acc: 0.2343 - val_loss: 1.9363 - val_acc: 0.2100 Epoch 22/1000 700/700 [==============================] - 0s 466us/step - loss: 1.9011 - acc: 0.2386 - val_loss: 1.9289 - val_acc: 0.2033 Epoch 23/1000 700/700 [==============================] - 0s 570us/step - loss: 1.8954 - acc: 0.2357 - val_loss: 1.9234 - val_acc: 0.2100 Epoch 24/1000 700/700 [==============================] - 0s 506us/step - loss: 1.8895 - acc: 0.2314 - val_loss: 1.9201 - val_acc: 0.2067 Epoch 25/1000 700/700 [==============================] - 0s 533us/step - loss: 1.8830 - acc: 0.2343 - val_loss: 1.9178 - val_acc: 0.2167 Epoch 26/1000 700/700 [==============================] - 0s 575us/step - loss: 1.8769 - acc: 0.2300 - val_loss: 1.9105 - val_acc: 0.2167 Epoch 27/1000 700/700 [==============================] - 0s 470us/step - loss: 1.8715 - acc: 0.2357 - val_loss: 1.9098 - val_acc: 0.2167 Epoch 28/1000 700/700 [==============================] - 0s 595us/step - loss: 1.8662 - acc: 0.2400 - val_loss: 1.9094 - val_acc: 0.2000 Epoch 29/1000 700/700 [==============================] - 0s 546us/step - loss: 1.8615 - acc: 0.2400 - val_loss: 1.9041 - val_acc: 0.1900 Epoch 30/1000 700/700 [==============================] - 0s 450us/step - loss: 1.8565 - acc: 0.2243 - val_loss: 1.8976 - val_acc: 0.2167 Epoch 31/1000 700/700 [==============================] - 0s 572us/step - loss: 1.8513 - acc: 0.2471 - val_loss: 1.8971 - val_acc: 0.1933 Epoch 32/1000 700/700 [==============================] - 0s 515us/step - loss: 1.8463 - acc: 0.2371 - val_loss: 1.8925 - val_acc: 0.1900 Epoch 33/1000 700/700 [==============================] - 0s 534us/step - loss: 1.8423 - acc: 0.2229 - val_loss: 1.8874 - val_acc: 0.2067 Epoch 34/1000 700/700 [==============================] - 0s 553us/step - loss: 1.8382 - acc: 0.2371 - val_loss: 1.8808 - val_acc: 0.1933 Epoch 35/1000 700/700 [==============================] - 0s 464us/step - loss: 1.8335 - acc: 0.2471 - val_loss: 1.8836 - val_acc: 0.1900 Epoch 36/1000 700/700 [==============================] - 0s 490us/step - loss: 1.8299 - acc: 0.2343 - val_loss: 1.8756 - val_acc: 0.1967 Epoch 37/1000 700/700 [==============================] - 0s 618us/step - loss: 1.8257 - acc: 0.2486 - val_loss: 1.8745 - val_acc: 0.1800 Epoch 38/1000 700/700 [==============================] - 0s 484us/step - loss: 1.8220 - acc: 0.2371 - val_loss: 1.8700 - val_acc: 0.1933 Epoch 39/1000 700/700 [==============================] - 0s 477us/step - loss: 1.8184 - acc: 0.2457 - val_loss: 1.8706 - val_acc: 0.1767 Epoch 40/1000 700/700 [==============================] - 0s 540us/step - loss: 1.8144 - acc: 0.2314 - val_loss: 1.8677 - val_acc: 0.2000 Epoch 41/1000 700/700 [==============================] - 0s 507us/step - loss: 1.8105 - acc: 0.2400 - val_loss: 1.8668 - val_acc: 0.1833 Epoch 42/1000 700/700 [==============================] - 0s 576us/step - loss: 1.8075 - acc: 0.2471 - val_loss: 1.8635 - val_acc: 0.1800 Epoch 43/1000 700/700 [==============================] - 0s 497us/step - loss: 1.8046 - acc: 0.2429 - val_loss: 1.8611 - val_acc: 0.1700 Epoch 44/1000 700/700 [==============================] - 0s 466us/step - loss: 1.8001 - acc: 0.2371 - val_loss: 1.8566 - val_acc: 0.1967 Epoch 45/1000 700/700 [==============================] - 0s 527us/step - loss: 1.7970 - acc: 0.2429 - val_loss: 1.8564 - val_acc: 0.1700 Epoch 46/1000 700/700 [==============================] - 0s 499us/step - loss: 1.7939 - acc: 0.2271 - val_loss: 1.8528 - val_acc: 0.1933 Epoch 47/1000 700/700 [==============================] - 0s 464us/step - loss: 1.7913 - acc: 0.2600 - val_loss: 1.8551 - val_acc: 0.1833 Epoch 48/1000 700/700 [==============================] - 0s 533us/step - loss: 1.7886 - acc: 0.2471 - val_loss: 1.8543 - val_acc: 0.1867 Epoch 49/1000 700/700 [==============================] - 0s 462us/step - loss: 1.7858 - acc: 0.2486 - val_loss: 1.8504 - val_acc: 0.1867 Epoch 50/1000 700/700 [==============================] - 0s 473us/step - loss: 1.7819 - acc: 0.2471 - val_loss: 1.8443 - val_acc: 0.2267 Epoch 51/1000 700/700 [==============================] - 0s 519us/step - loss: 1.7794 - acc: 0.2643 - val_loss: 1.8468 - val_acc: 0.1900 Epoch 52/1000 700/700 [==============================] - 0s 472us/step - loss: 1.7762 - acc: 0.2486 - val_loss: 1.8411 - val_acc: 0.1933 Epoch 53/1000 700/700 [==============================] - 0s 480us/step - loss: 1.7744 - acc: 0.2514 - val_loss: 1.8486 - val_acc: 0.2000 Epoch 54/1000 700/700 [==============================] - 0s 551us/step - loss: 1.7716 - acc: 0.2700 - val_loss: 1.8472 - val_acc: 0.1800 Epoch 55/1000 700/700 [==============================] - 0s 457us/step - loss: 1.7687 - acc: 0.2500 - val_loss: 1.8364 - val_acc: 0.2033 Epoch 56/1000 700/700 [==============================] - 0s 465us/step - loss: 1.7672 - acc: 0.2543 - val_loss: 1.8430 - val_acc: 0.2200 Epoch 57/1000 700/700 [==============================] - 0s 530us/step - loss: 1.7641 - acc: 0.2714 - val_loss: 1.8390 - val_acc: 0.2167 Epoch 58/1000 700/700 [==============================] - 0s 423us/step - loss: 1.7616 - acc: 0.2557 - val_loss: 1.8347 - val_acc: 0.2267 Epoch 59/1000 700/700 [==============================] - 0s 482us/step - loss: 1.7590 - acc: 0.2671 - val_loss: 1.8329 - val_acc: 0.2233 Epoch 60/1000 700/700 [==============================] - 0s 571us/step - loss: 1.7552 - acc: 0.2614 - val_loss: 1.8256 - val_acc: 0.2500 Epoch 61/1000 700/700 [==============================] - 0s 474us/step - loss: 1.7566 - acc: 0.2814 - val_loss: 1.8336 - val_acc: 0.2400 Epoch 62/1000 700/700 [==============================] - 0s 610us/step - loss: 1.7531 - acc: 0.2729 - val_loss: 1.8312 - val_acc: 0.2267 Epoch 63/1000 700/700 [==============================] - 0s 489us/step - loss: 1.7505 - acc: 0.2857 - val_loss: 1.8299 - val_acc: 0.2000 Epoch 64/1000 700/700 [==============================] - 0s 436us/step - loss: 1.7484 - acc: 0.2800 - val_loss: 1.8268 - val_acc: 0.2200 Epoch 65/1000 700/700 [==============================] - 0s 511us/step - loss: 1.7457 - acc: 0.2814 - val_loss: 1.8298 - val_acc: 0.2033 Epoch 66/1000 700/700 [==============================] - 0s 515us/step - loss: 1.7439 - acc: 0.2786 - val_loss: 1.8296 - val_acc: 0.2067 Epoch 67/1000 700/700 [==============================] - 0s 468us/step - loss: 1.7419 - acc: 0.2700 - val_loss: 1.8299 - val_acc: 0.2067 Epoch 68/1000 700/700 [==============================] - 0s 486us/step - loss: 1.7405 - acc: 0.2729 - val_loss: 1.8238 - val_acc: 0.2000 Epoch 69/1000 700/700 [==============================] - 0s 497us/step - loss: 1.7376 - acc: 0.2814 - val_loss: 1.8298 - val_acc: 0.2167 Epoch 70/1000 700/700 [==============================] - 0s 497us/step - loss: 1.7356 - acc: 0.2857 - val_loss: 1.8269 - val_acc: 0.2433 Epoch 71/1000 700/700 [==============================] - 0s 536us/step - loss: 1.7345 - acc: 0.2800 - val_loss: 1.8214 - val_acc: 0.2167 Epoch 72/1000 700/700 [==============================] - 0s 466us/step - loss: 1.7328 - acc: 0.2857 - val_loss: 1.8226 - val_acc: 0.2133 Epoch 73/1000 700/700 [==============================] - 0s 457us/step - loss: 1.7298 - acc: 0.2800 - val_loss: 1.8252 - val_acc: 0.2467 Epoch 74/1000 700/700 [==============================] - 0s 521us/step - loss: 1.7283 - acc: 0.2857 - val_loss: 1.8257 - val_acc: 0.1967 Epoch 75/1000 700/700 [==============================] - 0s 460us/step - loss: 1.7268 - acc: 0.2786 - val_loss: 1.8190 - val_acc: 0.2267 Epoch 76/1000 700/700 [==============================] - 0s 467us/step - loss: 1.7255 - acc: 0.2857 - val_loss: 1.8196 - val_acc: 0.2233 Epoch 77/1000 700/700 [==============================] - 0s 550us/step - loss: 1.7228 - acc: 0.3057 - val_loss: 1.8232 - val_acc: 0.2033 Epoch 78/1000 700/700 [==============================] - 0s 474us/step - loss: 1.7212 - acc: 0.2857 - val_loss: 1.8187 - val_acc: 0.1933 Epoch 79/1000 700/700 [==============================] - 0s 516us/step - loss: 1.7199 - acc: 0.2829 - val_loss: 1.8203 - val_acc: 0.2433 Epoch 80/1000 700/700 [==============================] - 0s 523us/step - loss: 1.7188 - acc: 0.2929 - val_loss: 1.8197 - val_acc: 0.2067 Epoch 81/1000 700/700 [==============================] - 0s 509us/step - loss: 1.7165 - acc: 0.2843 - val_loss: 1.8256 - val_acc: 0.2067 Epoch 82/1000 700/700 [==============================] - 0s 608us/step - loss: 1.7142 - acc: 0.2829 - val_loss: 1.8144 - val_acc: 0.2667 Epoch 83/1000 700/700 [==============================] - 0s 489us/step - loss: 1.7132 - acc: 0.2857 - val_loss: 1.8190 - val_acc: 0.2400 Epoch 84/1000 700/700 [==============================] - 0s 464us/step - loss: 1.7127 - acc: 0.2986 - val_loss: 1.8220 - val_acc: 0.2167 Epoch 85/1000 700/700 [==============================] - 0s 521us/step - loss: 1.7097 - acc: 0.2971 - val_loss: 1.8159 - val_acc: 0.2267 Epoch 86/1000 700/700 [==============================] - 0s 484us/step - loss: 1.7082 - acc: 0.2800 - val_loss: 1.8136 - val_acc: 0.2633 Epoch 87/1000 700/700 [==============================] - 0s 457us/step - loss: 1.7051 - acc: 0.3100 - val_loss: 1.8191 - val_acc: 0.2733 Epoch 88/1000 700/700 [==============================] - 0s 630us/step - loss: 1.7062 - acc: 0.3043 - val_loss: 1.8125 - val_acc: 0.2433 Epoch 89/1000 700/700 [==============================] - 0s 509us/step - loss: 1.7043 - acc: 0.3043 - val_loss: 1.8167 - val_acc: 0.2167 Epoch 90/1000 700/700 [==============================] - 0s 459us/step - loss: 1.7027 - acc: 0.2843 - val_loss: 1.8151 - val_acc: 0.2233 Epoch 91/1000 700/700 [==============================] - 0s 537us/step - loss: 1.7017 - acc: 0.3086 - val_loss: 1.8185 - val_acc: 0.2167 Epoch 92/1000 700/700 [==============================] - 0s 430us/step - loss: 1.6987 - acc: 0.3129 - val_loss: 1.8215 - val_acc: 0.2067 Epoch 93/1000 700/700 [==============================] - 0s 454us/step - loss: 1.6980 - acc: 0.3071 - val_loss: 1.8173 - val_acc: 0.2767 Epoch 94/1000 700/700 [==============================] - 0s 554us/step - loss: 1.6970 - acc: 0.3157 - val_loss: 1.8176 - val_acc: 0.2100 Epoch 95/1000 700/700 [==============================] - 0s 492us/step - loss: 1.6943 - acc: 0.2986 - val_loss: 1.8194 - val_acc: 0.2833 Epoch 96/1000 700/700 [==============================] - 0s 523us/step - loss: 1.6948 - acc: 0.3014 - val_loss: 1.8095 - val_acc: 0.2233 Epoch 97/1000 700/700 [==============================] - 0s 510us/step - loss: 1.6930 - acc: 0.3057 - val_loss: 1.8228 - val_acc: 0.2300 Epoch 98/1000 700/700 [==============================] - 0s 479us/step - loss: 1.6921 - acc: 0.3043 - val_loss: 1.8117 - val_acc: 0.2200 Epoch 99/1000 700/700 [==============================] - 0s 497us/step - loss: 1.6901 - acc: 0.3129 - val_loss: 1.8252 - val_acc: 0.2233 Epoch 100/1000 700/700 [==============================] - 0s 534us/step - loss: 1.6890 - acc: 0.3129 - val_loss: 1.8210 - val_acc: 0.2267 Epoch 101/1000 700/700 [==============================] - 0s 514us/step - loss: 1.6878 - acc: 0.3143 - val_loss: 1.8190 - val_acc: 0.2200 Epoch 102/1000 700/700 [==============================] - 0s 566us/step - loss: 1.6877 - acc: 0.3014 - val_loss: 1.8219 - val_acc: 0.2300 Epoch 103/1000 700/700 [==============================] - 0s 493us/step - loss: 1.6843 - acc: 0.3000 - val_loss: 1.8102 - val_acc: 0.2500 Epoch 104/1000 700/700 [==============================] - 0s 537us/step - loss: 1.6842 - acc: 0.3200 - val_loss: 1.8122 - val_acc: 0.2200 Epoch 105/1000 700/700 [==============================] - 0s 591us/step - loss: 1.6821 - acc: 0.3071 - val_loss: 1.8063 - val_acc: 0.2067 Epoch 106/1000 700/700 [==============================] - ETA: 0s - loss: 1.6785 - acc: 0.314 - 0s 491us/step - loss: 1.6814 - acc: 0.3114 - val_loss: 1.8173 - val_acc: 0.2200 Epoch 107/1000 700/700 [==============================] - 0s 607us/step - loss: 1.6805 - acc: 0.3071 - val_loss: 1.8228 - val_acc: 0.2367 Epoch 108/1000 700/700 [==============================] - 0s 459us/step - loss: 1.6784 - acc: 0.3071 - val_loss: 1.8167 - val_acc: 0.2767 Epoch 109/1000 700/700 [==============================] - 0s 479us/step - loss: 1.6782 - acc: 0.3143 - val_loss: 1.8178 - val_acc: 0.2300 Epoch 110/1000 700/700 [==============================] - 0s 504us/step - loss: 1.6775 - acc: 0.3171 - val_loss: 1.8147 - val_acc: 0.2133 Epoch 111/1000 700/700 [==============================] - 0s 485us/step - loss: 1.6775 - acc: 0.3043 - val_loss: 1.8173 - val_acc: 0.2233 Epoch 112/1000 700/700 [==============================] - 0s 471us/step - loss: 1.6745 - acc: 0.3129 - val_loss: 1.8193 - val_acc: 0.2267 Epoch 113/1000 700/700 [==============================] - 0s 513us/step - loss: 1.6737 - acc: 0.3100 - val_loss: 1.8196 - val_acc: 0.2300 Epoch 114/1000 700/700 [==============================] - 0s 475us/step - loss: 1.6724 - acc: 0.3014 - val_loss: 1.8221 - val_acc: 0.2300 Epoch 115/1000 700/700 [==============================] - 0s 469us/step - loss: 1.6711 - acc: 0.3071 - val_loss: 1.8128 - val_acc: 0.2333 Epoch 116/1000 700/700 [==============================] - 0s 533us/step - loss: 1.6703 - acc: 0.3157 - val_loss: 1.8255 - val_acc: 0.2300 Epoch 117/1000 700/700 [==============================] - 0s 474us/step - loss: 1.6694 - acc: 0.3100 - val_loss: 1.8228 - val_acc: 0.2333 Epoch 118/1000 700/700 [==============================] - 0s 488us/step - loss: 1.6682 - acc: 0.3114 - val_loss: 1.8262 - val_acc: 0.2333 Epoch 119/1000 700/700 [==============================] - 0s 500us/step - loss: 1.6670 - acc: 0.3257 - val_loss: 1.8216 - val_acc: 0.2200 Epoch 120/1000 700/700 [==============================] - 0s 474us/step - loss: 1.6661 - acc: 0.3129 - val_loss: 1.8219 - val_acc: 0.2200 Epoch 121/1000 700/700 [==============================] - 0s 469us/step - loss: 1.6646 - acc: 0.3071 - val_loss: 1.8132 - val_acc: 0.2233 Epoch 122/1000 700/700 [==============================] - 0s 543us/step - loss: 1.6637 - acc: 0.3229 - val_loss: 1.8194 - val_acc: 0.2200 Epoch 123/1000 700/700 [==============================] - 0s 463us/step - loss: 1.6629 - acc: 0.3100 - val_loss: 1.8139 - val_acc: 0.2200 Epoch 124/1000 700/700 [==============================] - 0s 490us/step - loss: 1.6619 - acc: 0.3143 - val_loss: 1.8187 - val_acc: 0.2267 Epoch 125/1000 700/700 [==============================] - 0s 494us/step - loss: 1.6606 - acc: 0.3257 - val_loss: 1.8212 - val_acc: 0.2333 Epoch 126/1000 700/700 [==============================] - 0s 458us/step - loss: 1.6592 - acc: 0.3143 - val_loss: 1.8245 - val_acc: 0.2233 Epoch 127/1000 700/700 [==============================] - 0s 502us/step - loss: 1.6583 - acc: 0.3129 - val_loss: 1.8147 - val_acc: 0.2333 Epoch 128/1000 700/700 [==============================] - 0s 516us/step - loss: 1.6565 - acc: 0.3300 - val_loss: 1.8280 - val_acc: 0.2300 Epoch 129/1000 700/700 [==============================] - 0s 476us/step - loss: 1.6570 - acc: 0.3143 - val_loss: 1.8193 - val_acc: 0.2200 Epoch 130/1000 700/700 [==============================] - 0s 489us/step - loss: 1.6548 - acc: 0.3214 - val_loss: 1.8124 - val_acc: 0.2533 Epoch 131/1000 700/700 [==============================] - 0s 500us/step - loss: 1.6547 - acc: 0.3229 - val_loss: 1.8202 - val_acc: 0.2500 Epoch 132/1000 700/700 [==============================] - 0s 474us/step - loss: 1.6545 - acc: 0.3200 - val_loss: 1.8133 - val_acc: 0.2267 Epoch 133/1000 700/700 [==============================] - 0s 513us/step - loss: 1.6524 - acc: 0.3143 - val_loss: 1.8317 - val_acc: 0.2400 Epoch 134/1000 700/700 [==============================] - 0s 504us/step - loss: 1.6514 - acc: 0.3214 - val_loss: 1.8226 - val_acc: 0.2733 Epoch 135/1000 700/700 [==============================] - 0s 471us/step - loss: 1.6512 - acc: 0.3314 - val_loss: 1.8233 - val_acc: 0.2267 Epoch 136/1000 700/700 [==============================] - 0s 494us/step - loss: 1.6493 - acc: 0.3186 - val_loss: 1.8168 - val_acc: 0.2200 Epoch 137/1000 700/700 [==============================] - 0s 483us/step - loss: 1.6483 - acc: 0.3214 - val_loss: 1.8191 - val_acc: 0.2200 Epoch 138/1000 700/700 [==============================] - 0s 484us/step - loss: 1.6488 - acc: 0.3257 - val_loss: 1.8199 - val_acc: 0.2167 Epoch 139/1000 700/700 [==============================] - 0s 472us/step - loss: 1.6466 - acc: 0.3257 - val_loss: 1.8512 - val_acc: 0.2433 Epoch 140/1000 700/700 [==============================] - 0s 462us/step - loss: 1.6465 - acc: 0.3214 - val_loss: 1.8168 - val_acc: 0.2200 Epoch 141/1000 700/700 [==============================] - 0s 437us/step - loss: 1.6446 - acc: 0.3229 - val_loss: 1.8284 - val_acc: 0.2267 Epoch 142/1000 700/700 [==============================] - 0s 470us/step - loss: 1.6437 - acc: 0.3243 - val_loss: 1.8154 - val_acc: 0.2633 Epoch 143/1000 700/700 [==============================] - 0s 480us/step - loss: 1.6437 - acc: 0.3329 - val_loss: 1.8292 - val_acc: 0.2433 Epoch 144/1000 700/700 [==============================] - 0s 474us/step - loss: 1.6431 - acc: 0.3329 - val_loss: 1.8273 - val_acc: 0.2300 Epoch 145/1000 700/700 [==============================] - 0s 472us/step - loss: 1.6419 - acc: 0.3271 - val_loss: 1.8197 - val_acc: 0.2200 Epoch 146/1000 700/700 [==============================] - 0s 463us/step - loss: 1.6392 - acc: 0.3343 - val_loss: 1.8324 - val_acc: 0.2233 Epoch 147/1000 700/700 [==============================] - 0s 475us/step - loss: 1.6412 - acc: 0.3100 - val_loss: 1.8328 - val_acc: 0.2333 Epoch 148/1000 700/700 [==============================] - 0s 501us/step - loss: 1.6390 - acc: 0.3243 - val_loss: 1.8306 - val_acc: 0.2500 Epoch 149/1000 700/700 [==============================] - 0s 492us/step - loss: 1.6375 - acc: 0.3271 - val_loss: 1.8189 - val_acc: 0.2133 Epoch 150/1000 700/700 [==============================] - 0s 474us/step - loss: 1.6367 - acc: 0.3229 - val_loss: 1.8276 - val_acc: 0.2233 Epoch 151/1000 700/700 [==============================] - 0s 503us/step - loss: 1.6364 - acc: 0.3257 - val_loss: 1.8245 - val_acc: 0.2267 Epoch 152/1000 700/700 [==============================] - 0s 486us/step - loss: 1.6350 - acc: 0.3214 - val_loss: 1.8290 - val_acc: 0.2233 Epoch 153/1000 700/700 [==============================] - 0s 489us/step - loss: 1.6340 - acc: 0.3400 - val_loss: 1.8270 - val_acc: 0.2300 Epoch 154/1000 700/700 [==============================] - 0s 491us/step - loss: 1.6319 - acc: 0.3457 - val_loss: 1.8343 - val_acc: 0.2233 Epoch 155/1000 700/700 [==============================] - 0s 447us/step - loss: 1.6316 - acc: 0.3243 - val_loss: 1.8183 - val_acc: 0.2367 Epoch 156/1000 700/700 [==============================] - 0s 452us/step - loss: 1.6326 - acc: 0.3329 - val_loss: 1.8309 - val_acc: 0.2200 Epoch 157/1000 700/700 [==============================] - 0s 503us/step - loss: 1.6308 - acc: 0.3300 - val_loss: 1.8241 - val_acc: 0.2200 Epoch 158/1000 700/700 [==============================] - 0s 493us/step - loss: 1.6308 - acc: 0.3343 - val_loss: 1.8329 - val_acc: 0.2300 Epoch 159/1000 700/700 [==============================] - 0s 472us/step - loss: 1.6285 - acc: 0.3257 - val_loss: 1.8336 - val_acc: 0.2433 Epoch 160/1000 700/700 [==============================] - 0s 521us/step - loss: 1.6278 - acc: 0.3300 - val_loss: 1.8304 - val_acc: 0.2233 Epoch 161/1000 700/700 [==============================] - 0s 443us/step - loss: 1.6271 - acc: 0.3257 - val_loss: 1.8406 - val_acc: 0.2300 Epoch 162/1000 700/700 [==============================] - 0s 462us/step - loss: 1.6265 - acc: 0.3271 - val_loss: 1.8350 - val_acc: 0.2267 Epoch 163/1000 700/700 [==============================] - 0s 509us/step - loss: 1.6254 - acc: 0.3371 - val_loss: 1.8365 - val_acc: 0.2300 Epoch 164/1000 700/700 [==============================] - 0s 478us/step - loss: 1.6239 - acc: 0.3314 - val_loss: 1.8264 - val_acc: 0.2100 Epoch 165/1000 700/700 [==============================] - 0s 443us/step - loss: 1.6236 - acc: 0.3200 - val_loss: 1.8396 - val_acc: 0.2367 Epoch 166/1000 700/700 [==============================] - 0s 558us/step - loss: 1.6230 - acc: 0.3286 - val_loss: 1.8344 - val_acc: 0.2233 Epoch 167/1000 700/700 [==============================] - 0s 470us/step - loss: 1.6221 - acc: 0.3314 - val_loss: 1.8389 - val_acc: 0.2633 Epoch 168/1000 700/700 [==============================] - 0s 459us/step - loss: 1.6208 - acc: 0.3386 - val_loss: 1.8444 - val_acc: 0.2200 Epoch 169/1000 700/700 [==============================] - 0s 503us/step - loss: 1.6198 - acc: 0.3386 - val_loss: 1.8525 - val_acc: 0.2233 Epoch 170/1000 700/700 [==============================] - 0s 467us/step - loss: 1.6191 - acc: 0.3371 - val_loss: 1.8369 - val_acc: 0.2233 Epoch 171/1000 700/700 [==============================] - 0s 443us/step - loss: 1.6170 - acc: 0.3271 - val_loss: 1.8517 - val_acc: 0.2600 Epoch 172/1000 700/700 [==============================] - 0s 510us/step - loss: 1.6164 - acc: 0.3386 - val_loss: 1.8397 - val_acc: 0.2133 Epoch 173/1000 700/700 [==============================] - 0s 474us/step - loss: 1.6182 - acc: 0.3386 - val_loss: 1.8392 - val_acc: 0.2367 Epoch 174/1000 700/700 [==============================] - 0s 435us/step - loss: 1.6167 - acc: 0.3300 - val_loss: 1.8420 - val_acc: 0.2200 Epoch 175/1000 700/700 [==============================] - 0s 490us/step - loss: 1.6166 - acc: 0.3357 - val_loss: 1.8406 - val_acc: 0.2200 Epoch 176/1000 700/700 [==============================] - 0s 487us/step - loss: 1.6143 - acc: 0.3229 - val_loss: 1.8437 - val_acc: 0.2600 Epoch 177/1000 700/700 [==============================] - 0s 479us/step - loss: 1.6134 - acc: 0.3371 - val_loss: 1.8384 - val_acc: 0.2167 Epoch 178/1000 700/700 [==============================] - 0s 501us/step - loss: 1.6139 - acc: 0.3371 - val_loss: 1.8446 - val_acc: 0.2267 Epoch 179/1000 700/700 [==============================] - 0s 506us/step - loss: 1.6134 - acc: 0.3400 - val_loss: 1.8376 - val_acc: 0.2233 Epoch 180/1000 700/700 [==============================] - 0s 531us/step - loss: 1.6110 - acc: 0.3371 - val_loss: 1.8415 - val_acc: 0.2667 Epoch 181/1000 700/700 [==============================] - 0s 511us/step - loss: 1.6115 - acc: 0.3457 - val_loss: 1.8339 - val_acc: 0.2567 Epoch 182/1000 700/700 [==============================] - 0s 500us/step - loss: 1.6106 - acc: 0.3471 - val_loss: 1.8365 - val_acc: 0.2167 Epoch 183/1000 700/700 [==============================] - 0s 449us/step - loss: 1.6115 - acc: 0.3300 - val_loss: 1.8411 - val_acc: 0.2333 Epoch 184/1000 700/700 [==============================] - 0s 527us/step - loss: 1.6093 - acc: 0.3443 - val_loss: 1.8453 - val_acc: 0.2267 Epoch 185/1000 700/700 [==============================] - 0s 520us/step - loss: 1.6076 - acc: 0.3386 - val_loss: 1.8641 - val_acc: 0.2200 Epoch 186/1000 700/700 [==============================] - 0s 494us/step - loss: 1.6086 - acc: 0.3443 - val_loss: 1.8449 - val_acc: 0.2233 Epoch 187/1000 700/700 [==============================] - 0s 484us/step - loss: 1.6065 - acc: 0.3543 - val_loss: 1.8442 - val_acc: 0.2167 Epoch 188/1000 700/700 [==============================] - 0s 492us/step - loss: 1.6075 - acc: 0.3386 - val_loss: 1.8412 - val_acc: 0.2133 Epoch 189/1000 700/700 [==============================] - 0s 524us/step - loss: 1.6045 - acc: 0.3529 - val_loss: 1.8517 - val_acc: 0.2233 Epoch 190/1000 700/700 [==============================] - 0s 529us/step - loss: 1.6065 - acc: 0.3314 - val_loss: 1.8401 - val_acc: 0.2300 Epoch 191/1000 700/700 [==============================] - 0s 470us/step - loss: 1.6042 - acc: 0.3529 - val_loss: 1.8564 - val_acc: 0.2233 Epoch 192/1000 700/700 [==============================] - 0s 500us/step - loss: 1.6044 - acc: 0.3500 - val_loss: 1.8503 - val_acc: 0.2200 Epoch 193/1000 700/700 [==============================] - 0s 483us/step - loss: 1.6029 - acc: 0.3357 - val_loss: 1.8539 - val_acc: 0.2267 Epoch 194/1000 700/700 [==============================] - 0s 470us/step - loss: 1.6025 - acc: 0.3414 - val_loss: 1.8470 - val_acc: 0.2267 Epoch 195/1000 700/700 [==============================] - 0s 490us/step - loss: 1.6019 - acc: 0.3457 - val_loss: 1.8453 - val_acc: 0.2467 Epoch 196/1000 700/700 [==============================] - 0s 464us/step - loss: 1.6016 - acc: 0.3514 - val_loss: 1.8472 - val_acc: 0.2167 Epoch 197/1000 700/700 [==============================] - 0s 472us/step - loss: 1.6002 - acc: 0.3443 - val_loss: 1.8488 - val_acc: 0.2300 Epoch 198/1000 700/700 [==============================] - 0s 496us/step - loss: 1.6005 - acc: 0.3386 - val_loss: 1.8591 - val_acc: 0.2200 Epoch 199/1000 700/700 [==============================] - 0s 464us/step - loss: 1.6003 - acc: 0.3429 - val_loss: 1.8558 - val_acc: 0.2200 Epoch 200/1000 700/700 [==============================] - 0s 492us/step - loss: 1.5975 - acc: 0.3457 - val_loss: 1.8604 - val_acc: 0.2633 Epoch 201/1000 700/700 [==============================] - 0s 510us/step - loss: 1.5986 - acc: 0.3457 - val_loss: 1.8469 - val_acc: 0.2167 Epoch 202/1000 700/700 [==============================] - 0s 474us/step - loss: 1.5979 - acc: 0.3414 - val_loss: 1.8478 - val_acc: 0.2100 Epoch 203/1000 700/700 [==============================] - 0s 476us/step - loss: 1.5965 - acc: 0.3343 - val_loss: 1.8562 - val_acc: 0.2267 Epoch 204/1000 700/700 [==============================] - 0s 534us/step - loss: 1.5953 - acc: 0.3557 - val_loss: 1.8461 - val_acc: 0.2067 Epoch 205/1000 700/700 [==============================] - 0s 435us/step - loss: 1.5953 - acc: 0.3429 - val_loss: 1.8508 - val_acc: 0.2200 Epoch 206/1000 700/700 [==============================] - 0s 523us/step - loss: 1.5946 - acc: 0.3500 - val_loss: 1.8463 - val_acc: 0.2133 Epoch 207/1000 700/700 [==============================] - 0s 496us/step - loss: 1.5947 - acc: 0.3543 - val_loss: 1.8537 - val_acc: 0.2233 Epoch 208/1000 700/700 [==============================] - 0s 440us/step - loss: 1.5920 - acc: 0.3414 - val_loss: 1.8557 - val_acc: 0.2233 Epoch 209/1000 700/700 [==============================] - 0s 504us/step - loss: 1.5919 - acc: 0.3514 - val_loss: 1.8521 - val_acc: 0.2300 Epoch 210/1000 700/700 [==============================] - 0s 526us/step - loss: 1.5915 - acc: 0.3443 - val_loss: 1.8523 - val_acc: 0.2267 Epoch 211/1000 700/700 [==============================] - 0s 445us/step - loss: 1.5903 - acc: 0.3371 - val_loss: 1.8456 - val_acc: 0.2567 Epoch 212/1000 700/700 [==============================] - 0s 502us/step - loss: 1.5913 - acc: 0.3471 - val_loss: 1.8593 - val_acc: 0.2200 Epoch 213/1000 700/700 [==============================] - 0s 489us/step - loss: 1.5894 - acc: 0.3500 - val_loss: 1.8519 - val_acc: 0.2233 Epoch 214/1000 700/700 [==============================] - 0s 479us/step - loss: 1.5905 - acc: 0.3457 - val_loss: 1.8541 - val_acc: 0.2267 Epoch 215/1000 700/700 [==============================] - 0s 503us/step - loss: 1.5886 - acc: 0.3514 - val_loss: 1.8602 - val_acc: 0.2667 Epoch 216/1000 700/700 [==============================] - 0s 496us/step - loss: 1.5895 - acc: 0.3486 - val_loss: 1.8624 - val_acc: 0.2267 Epoch 217/1000 700/700 [==============================] - 0s 472us/step - loss: 1.5881 - acc: 0.3471 - val_loss: 1.8638 - val_acc: 0.2300 Epoch 218/1000 700/700 [==============================] - 0s 480us/step - loss: 1.5876 - acc: 0.3486 - val_loss: 1.8600 - val_acc: 0.2300 Epoch 219/1000 700/700 [==============================] - 0s 492us/step - loss: 1.5865 - acc: 0.3500 - val_loss: 1.8659 - val_acc: 0.2267 Epoch 220/1000 700/700 [==============================] - 0s 466us/step - loss: 1.5855 - acc: 0.3514 - val_loss: 1.8581 - val_acc: 0.2267 Epoch 221/1000 700/700 [==============================] - 0s 513us/step - loss: 1.5855 - acc: 0.3471 - val_loss: 1.8621 - val_acc: 0.2267 Epoch 222/1000 700/700 [==============================] - 0s 474us/step - loss: 1.5845 - acc: 0.3514 - val_loss: 1.8751 - val_acc: 0.2500 Epoch 223/1000 700/700 [==============================] - 0s 470us/step - loss: 1.5844 - acc: 0.3443 - val_loss: 1.8615 - val_acc: 0.2600 Epoch 224/1000 700/700 [==============================] - 0s 479us/step - loss: 1.5845 - acc: 0.3529 - val_loss: 1.8766 - val_acc: 0.2467 Epoch 225/1000 700/700 [==============================] - 0s 490us/step - loss: 1.5833 - acc: 0.3457 - val_loss: 1.8572 - val_acc: 0.2167 Epoch 226/1000 700/700 [==============================] - 0s 477us/step - loss: 1.5835 - acc: 0.3486 - val_loss: 1.8686 - val_acc: 0.2233 Epoch 227/1000 700/700 [==============================] - 0s 493us/step - loss: 1.5825 - acc: 0.3486 - val_loss: 1.8611 - val_acc: 0.2133 Epoch 228/1000 700/700 [==============================] - 0s 476us/step - loss: 1.5825 - acc: 0.3443 - val_loss: 1.8693 - val_acc: 0.2267 Epoch 229/1000 700/700 [==============================] - 0s 452us/step - loss: 1.5801 - acc: 0.3471 - val_loss: 1.8688 - val_acc: 0.2233 Epoch 230/1000 700/700 [==============================] - 0s 513us/step - loss: 1.5818 - acc: 0.3471 - val_loss: 1.8635 - val_acc: 0.2133 Epoch 231/1000 700/700 [==============================] - 0s 464us/step - loss: 1.5797 - acc: 0.3529 - val_loss: 1.8605 - val_acc: 0.2200 Epoch 232/1000 700/700 [==============================] - 0s 452us/step - loss: 1.5809 - acc: 0.3514 - val_loss: 1.8730 - val_acc: 0.2133 Epoch 233/1000 700/700 [==============================] - 0s 470us/step - loss: 1.5796 - acc: 0.3486 - val_loss: 1.8781 - val_acc: 0.2200 Epoch 234/1000 700/700 [==============================] - 0s 479us/step - loss: 1.5791 - acc: 0.3457 - val_loss: 1.8666 - val_acc: 0.2133 Epoch 235/1000 700/700 [==============================] - 0s 482us/step - loss: 1.5777 - acc: 0.3571 - val_loss: 1.8693 - val_acc: 0.2100 Epoch 236/1000 700/700 [==============================] - 0s 486us/step - loss: 1.5778 - acc: 0.3443 - val_loss: 1.8664 - val_acc: 0.2133 Epoch 237/1000 700/700 [==============================] - 0s 462us/step - loss: 1.5770 - acc: 0.3429 - val_loss: 1.8718 - val_acc: 0.2300 Epoch 238/1000 700/700 [==============================] - 0s 447us/step - loss: 1.5774 - acc: 0.3471 - val_loss: 1.8613 - val_acc: 0.2200 Epoch 239/1000 700/700 [==============================] - 0s 503us/step - loss: 1.5770 - acc: 0.3571 - val_loss: 1.8682 - val_acc: 0.2267 Epoch 240/1000 700/700 [==============================] - 0s 487us/step - loss: 1.5749 - acc: 0.3571 - val_loss: 1.8719 - val_acc: 0.2500 Epoch 241/1000 700/700 [==============================] - 0s 462us/step - loss: 1.5749 - acc: 0.3571 - val_loss: 1.8738 - val_acc: 0.2433 Epoch 242/1000 700/700 [==============================] - 0s 549us/step - loss: 1.5743 - acc: 0.3514 - val_loss: 1.8733 - val_acc: 0.2100 Epoch 243/1000 700/700 [==============================] - 0s 474us/step - loss: 1.5743 - acc: 0.3629 - val_loss: 1.8806 - val_acc: 0.2200 Epoch 244/1000 700/700 [==============================] - 0s 467us/step - loss: 1.5713 - acc: 0.3557 - val_loss: 1.8724 - val_acc: 0.2200 Epoch 245/1000 700/700 [==============================] - 0s 492us/step - loss: 1.5715 - acc: 0.3586 - val_loss: 1.8838 - val_acc: 0.2233 Epoch 246/1000 700/700 [==============================] - 0s 492us/step - loss: 1.5712 - acc: 0.3543 - val_loss: 1.8710 - val_acc: 0.2533 Epoch 247/1000 700/700 [==============================] - 0s 458us/step - loss: 1.5722 - acc: 0.3557 - val_loss: 1.8631 - val_acc: 0.2167 Epoch 248/1000 700/700 [==============================] - 0s 503us/step - loss: 1.5716 - acc: 0.3557 - val_loss: 1.8700 - val_acc: 0.2233 Epoch 249/1000 700/700 [==============================] - 0s 482us/step - loss: 1.5712 - acc: 0.3471 - val_loss: 1.8840 - val_acc: 0.2233 Epoch 250/1000 700/700 [==============================] - 0s 480us/step - loss: 1.5680 - acc: 0.3657 - val_loss: 1.8981 - val_acc: 0.2167 Epoch 251/1000 700/700 [==============================] - 0s 546us/step - loss: 1.5704 - acc: 0.3486 - val_loss: 1.8793 - val_acc: 0.2400 Epoch 252/1000 700/700 [==============================] - 0s 464us/step - loss: 1.5682 - acc: 0.3643 - val_loss: 1.8744 - val_acc: 0.2200 Epoch 253/1000 700/700 [==============================] - 0s 477us/step - loss: 1.5689 - acc: 0.3586 - val_loss: 1.8820 - val_acc: 0.2133 Epoch 254/1000 700/700 [==============================] - 0s 516us/step - loss: 1.5677 - acc: 0.3571 - val_loss: 1.8835 - val_acc: 0.2267 Epoch 255/1000 700/700 [==============================] - 0s 470us/step - loss: 1.5681 - acc: 0.3457 - val_loss: 1.8713 - val_acc: 0.2267 Epoch 256/1000 700/700 [==============================] - 0s 459us/step - loss: 1.5657 - acc: 0.3571 - val_loss: 1.8761 - val_acc: 0.2533 Epoch 257/1000 700/700 [==============================] - 0s 519us/step - loss: 1.5667 - acc: 0.3514 - val_loss: 1.8912 - val_acc: 0.2467 Epoch 258/1000 700/700 [==============================] - 0s 442us/step - loss: 1.5649 - acc: 0.3614 - val_loss: 1.8946 - val_acc: 0.2567 Epoch 259/1000 700/700 [==============================] - 0s 580us/step - loss: 1.5648 - acc: 0.3643 - val_loss: 1.8911 - val_acc: 0.2167 Epoch 260/1000 700/700 [==============================] - 0s 520us/step - loss: 1.5657 - acc: 0.3600 - val_loss: 1.8989 - val_acc: 0.2200 Epoch 261/1000 700/700 [==============================] - 0s 543us/step - loss: 1.5637 - acc: 0.3571 - val_loss: 1.8751 - val_acc: 0.2167 Epoch 262/1000 700/700 [==============================] - 0s 566us/step - loss: 1.5638 - acc: 0.3614 - val_loss: 1.8836 - val_acc: 0.2100 Epoch 263/1000 700/700 [==============================] - 0s 500us/step - loss: 1.5631 - acc: 0.3629 - val_loss: 1.8858 - val_acc: 0.2100 Epoch 264/1000 700/700 [==============================] - 0s 469us/step - loss: 1.5640 - acc: 0.3571 - val_loss: 1.8812 - val_acc: 0.2133 Epoch 265/1000 700/700 [==============================] - 0s 506us/step - loss: 1.5638 - acc: 0.3686 - val_loss: 1.8902 - val_acc: 0.2200 Epoch 266/1000 700/700 [==============================] - 0s 473us/step - loss: 1.5614 - acc: 0.3614 - val_loss: 1.8968 - val_acc: 0.2500 Epoch 267/1000 700/700 [==============================] - 0s 467us/step - loss: 1.5612 - acc: 0.3629 - val_loss: 1.8918 - val_acc: 0.2300 Epoch 268/1000 700/700 [==============================] - 0s 497us/step - loss: 1.5613 - acc: 0.3614 - val_loss: 1.8757 - val_acc: 0.2100 Epoch 269/1000 700/700 [==============================] - 0s 480us/step - loss: 1.5601 - acc: 0.3643 - val_loss: 1.8854 - val_acc: 0.2133 Epoch 270/1000 700/700 [==============================] - 0s 487us/step - loss: 1.5594 - acc: 0.3671 - val_loss: 1.8674 - val_acc: 0.2333 Epoch 271/1000 700/700 [==============================] - 0s 583us/step - loss: 1.5610 - acc: 0.3657 - val_loss: 1.8914 - val_acc: 0.2333 Epoch 272/1000 700/700 [==============================] - 0s 517us/step - loss: 1.5595 - acc: 0.3600 - val_loss: 1.9030 - val_acc: 0.2267 Epoch 273/1000 700/700 [==============================] - 0s 547us/step - loss: 1.5591 - acc: 0.3571 - val_loss: 1.8964 - val_acc: 0.2200 Epoch 274/1000 700/700 [==============================] - 0s 577us/step - loss: 1.5589 - acc: 0.3457 - val_loss: 1.8841 - val_acc: 0.2233 Epoch 275/1000 700/700 [==============================] - 0s 465us/step - loss: 1.5589 - acc: 0.3629 - val_loss: 1.8914 - val_acc: 0.2200 Epoch 276/1000 700/700 [==============================] - 0s 500us/step - loss: 1.5579 - acc: 0.3529 - val_loss: 1.8967 - val_acc: 0.2533 Epoch 277/1000 700/700 [==============================] - 0s 480us/step - loss: 1.5581 - acc: 0.3714 - val_loss: 1.8909 - val_acc: 0.2167 Epoch 278/1000 700/700 [==============================] - 0s 474us/step - loss: 1.5578 - acc: 0.3600 - val_loss: 1.9032 - val_acc: 0.2300 Epoch 279/1000 700/700 [==============================] - 0s 494us/step - loss: 1.5559 - acc: 0.3571 - val_loss: 1.8859 - val_acc: 0.2167 Epoch 280/1000 700/700 [==============================] - 0s 489us/step - loss: 1.5559 - acc: 0.3700 - val_loss: 1.8876 - val_acc: 0.2167 Epoch 281/1000 700/700 [==============================] - 0s 457us/step - loss: 1.5541 - acc: 0.3586 - val_loss: 1.8906 - val_acc: 0.2333 Epoch 282/1000 700/700 [==============================] - 0s 497us/step - loss: 1.5553 - acc: 0.3671 - val_loss: 1.8840 - val_acc: 0.2133 Epoch 283/1000 700/700 [==============================] - 0s 479us/step - loss: 1.5543 - acc: 0.3557 - val_loss: 1.8927 - val_acc: 0.2167 Epoch 284/1000 700/700 [==============================] - 0s 472us/step - loss: 1.5542 - acc: 0.3614 - val_loss: 1.8936 - val_acc: 0.2567 Epoch 285/1000 700/700 [==============================] - 0s 474us/step - loss: 1.5535 - acc: 0.3557 - val_loss: 1.8887 - val_acc: 0.2200 Epoch 286/1000 700/700 [==============================] - 0s 454us/step - loss: 1.5536 - acc: 0.3586 - val_loss: 1.8989 - val_acc: 0.2233 Epoch 287/1000 700/700 [==============================] - 0s 461us/step - loss: 1.5527 - acc: 0.3686 - val_loss: 1.9019 - val_acc: 0.2133 Epoch 288/1000 700/700 [==============================] - 0s 506us/step - loss: 1.5525 - acc: 0.3600 - val_loss: 1.8930 - val_acc: 0.2133 Epoch 289/1000 700/700 [==============================] - 0s 492us/step - loss: 1.5519 - acc: 0.3600 - val_loss: 1.9014 - val_acc: 0.2167 Epoch 290/1000 700/700 [==============================] - 0s 463us/step - loss: 1.5514 - acc: 0.3657 - val_loss: 1.9032 - val_acc: 0.2200 Epoch 291/1000 700/700 [==============================] - 0s 512us/step - loss: 1.5513 - acc: 0.3586 - val_loss: 1.9037 - val_acc: 0.2167 Epoch 292/1000 700/700 [==============================] - 0s 504us/step - loss: 1.5509 - acc: 0.3543 - val_loss: 1.8995 - val_acc: 0.2433 Epoch 293/1000 700/700 [==============================] - 0s 470us/step - loss: 1.5507 - acc: 0.3543 - val_loss: 1.9011 - val_acc: 0.2300 Epoch 294/1000 700/700 [==============================] - 0s 500us/step - loss: 1.5497 - acc: 0.3543 - val_loss: 1.9002 - val_acc: 0.2567 Epoch 295/1000 700/700 [==============================] - 0s 454us/step - loss: 1.5499 - acc: 0.3657 - val_loss: 1.9120 - val_acc: 0.2200 Epoch 296/1000 700/700 [==============================] - 0s 460us/step - loss: 1.5495 - acc: 0.3571 - val_loss: 1.9104 - val_acc: 0.2133 Epoch 297/1000 700/700 [==============================] - 0s 526us/step - loss: 1.5479 - acc: 0.3571 - val_loss: 1.9128 - val_acc: 0.2167 Epoch 298/1000 700/700 [==============================] - 0s 453us/step - loss: 1.5477 - acc: 0.3486 - val_loss: 1.8958 - val_acc: 0.2267 Epoch 299/1000 700/700 [==============================] - 0s 454us/step - loss: 1.5485 - acc: 0.3686 - val_loss: 1.9145 - val_acc: 0.2267 Epoch 300/1000 700/700 [==============================] - 0s 503us/step - loss: 1.5472 - acc: 0.3629 - val_loss: 1.9031 - val_acc: 0.2300 Epoch 301/1000 700/700 [==============================] - 0s 454us/step - loss: 1.5469 - acc: 0.3629 - val_loss: 1.8934 - val_acc: 0.2200 Epoch 302/1000 700/700 [==============================] - 0s 477us/step - loss: 1.5479 - acc: 0.3657 - val_loss: 1.9081 - val_acc: 0.2167 Epoch 303/1000 700/700 [==============================] - 0s 506us/step - loss: 1.5464 - acc: 0.3529 - val_loss: 1.9016 - val_acc: 0.2333 Epoch 304/1000 700/700 [==============================] - 0s 523us/step - loss: 1.5452 - acc: 0.3671 - val_loss: 1.9066 - val_acc: 0.2200 Epoch 305/1000 700/700 [==============================] - 0s 480us/step - loss: 1.5432 - acc: 0.3643 - val_loss: 1.9140 - val_acc: 0.2267 Epoch 306/1000 700/700 [==============================] - 0s 511us/step - loss: 1.5458 - acc: 0.3600 - val_loss: 1.9100 - val_acc: 0.2233 Epoch 307/1000 700/700 [==============================] - 0s 437us/step - loss: 1.5436 - acc: 0.3671 - val_loss: 1.9064 - val_acc: 0.2267 Epoch 308/1000 700/700 [==============================] - 0s 497us/step - loss: 1.5453 - acc: 0.3600 - val_loss: 1.9129 - val_acc: 0.2333 Epoch 309/1000 700/700 [==============================] - 0s 496us/step - loss: 1.5435 - acc: 0.3643 - val_loss: 1.9120 - val_acc: 0.2367 Epoch 310/1000 700/700 [==============================] - 0s 473us/step - loss: 1.5448 - acc: 0.3671 - val_loss: 1.9110 - val_acc: 0.2167 Epoch 311/1000 700/700 [==============================] - 0s 527us/step - loss: 1.5426 - acc: 0.3586 - val_loss: 1.9058 - val_acc: 0.2300 Epoch 312/1000 700/700 [==============================] - 0s 611us/step - loss: 1.5423 - acc: 0.3729 - val_loss: 1.9273 - val_acc: 0.2367 Epoch 313/1000 700/700 [==============================] - 0s 588us/step - loss: 1.5387 - acc: 0.3657 - val_loss: 1.9056 - val_acc: 0.2633 Epoch 314/1000 700/700 [==============================] - 0s 544us/step - loss: 1.5433 - acc: 0.3686 - val_loss: 1.9131 - val_acc: 0.2300 Epoch 315/1000 700/700 [==============================] - 0s 570us/step - loss: 1.5406 - acc: 0.3657 - val_loss: 1.9118 - val_acc: 0.2233 Epoch 316/1000 700/700 [==============================] - 0s 554us/step - loss: 1.5404 - acc: 0.3614 - val_loss: 1.9141 - val_acc: 0.2233 Epoch 317/1000 700/700 [==============================] - 0s 617us/step - loss: 1.5412 - acc: 0.3614 - val_loss: 1.9213 - val_acc: 0.2333 Epoch 318/1000 700/700 [==============================] - ETA: 0s - loss: 1.5461 - acc: 0.364 - 0s 495us/step - loss: 1.5408 - acc: 0.3614 - val_loss: 1.9096 - val_acc: 0.2300 Epoch 319/1000 700/700 [==============================] - 0s 600us/step - loss: 1.5390 - acc: 0.3614 - val_loss: 1.9092 - val_acc: 0.2300 Epoch 320/1000 700/700 [==============================] - 0s 531us/step - loss: 1.5392 - acc: 0.3629 - val_loss: 1.9278 - val_acc: 0.2233 Epoch 321/1000 700/700 [==============================] - 0s 640us/step - loss: 1.5392 - acc: 0.3686 - val_loss: 1.9258 - val_acc: 0.2300 Epoch 322/1000 700/700 [==============================] - 0s 519us/step - loss: 1.5375 - acc: 0.3671 - val_loss: 1.9181 - val_acc: 0.2533 Epoch 323/1000 700/700 [==============================] - 0s 470us/step - loss: 1.5383 - acc: 0.3714 - val_loss: 1.9197 - val_acc: 0.2300 Epoch 324/1000 700/700 [==============================] - 0s 506us/step - loss: 1.5373 - acc: 0.3657 - val_loss: 1.9227 - val_acc: 0.2200 Epoch 325/1000 700/700 [==============================] - 0s 546us/step - loss: 1.5387 - acc: 0.3600 - val_loss: 1.9178 - val_acc: 0.2133 Epoch 326/1000 700/700 [==============================] - 0s 471us/step - loss: 1.5365 - acc: 0.3614 - val_loss: 1.9227 - val_acc: 0.2200 Epoch 327/1000 700/700 [==============================] - 0s 518us/step - loss: 1.5359 - acc: 0.3743 - val_loss: 1.9378 - val_acc: 0.2333 Epoch 328/1000 700/700 [==============================] - 0s 513us/step - loss: 1.5366 - acc: 0.3657 - val_loss: 1.9307 - val_acc: 0.2233 Epoch 329/1000 700/700 [==============================] - 0s 466us/step - loss: 1.5354 - acc: 0.3714 - val_loss: 1.9147 - val_acc: 0.2300 Epoch 330/1000 700/700 [==============================] - 0s 521us/step - loss: 1.5351 - acc: 0.3600 - val_loss: 1.9222 - val_acc: 0.2333 Epoch 331/1000 700/700 [==============================] - 0s 501us/step - loss: 1.5338 - acc: 0.3714 - val_loss: 1.9155 - val_acc: 0.2200 Epoch 332/1000 700/700 [==============================] - 0s 592us/step - loss: 1.5346 - acc: 0.3571 - val_loss: 1.9340 - val_acc: 0.2500 Epoch 333/1000 700/700 [==============================] - 0s 587us/step - loss: 1.5358 - acc: 0.3671 - val_loss: 1.9234 - val_acc: 0.2233 Epoch 334/1000 700/700 [==============================] - 0s 498us/step - loss: 1.5349 - acc: 0.3629 - val_loss: 1.9289 - val_acc: 0.2233 Epoch 335/1000 700/700 [==============================] - 0s 511us/step - loss: 1.5327 - acc: 0.3757 - val_loss: 1.9246 - val_acc: 0.2567 Epoch 336/1000 700/700 [==============================] - 0s 559us/step - loss: 1.5335 - acc: 0.3786 - val_loss: 1.9184 - val_acc: 0.2300 Epoch 337/1000 700/700 [==============================] - 0s 437us/step - loss: 1.5330 - acc: 0.3757 - val_loss: 1.9324 - val_acc: 0.2300 Epoch 338/1000 700/700 [==============================] - 0s 517us/step - loss: 1.5320 - acc: 0.3743 - val_loss: 1.9238 - val_acc: 0.2133 Epoch 339/1000 700/700 [==============================] - 0s 520us/step - loss: 1.5314 - acc: 0.3700 - val_loss: 1.9157 - val_acc: 0.2167 Epoch 340/1000 700/700 [==============================] - 0s 470us/step - loss: 1.5328 - acc: 0.3729 - val_loss: 1.9403 - val_acc: 0.2267 Epoch 341/1000 700/700 [==============================] - 0s 628us/step - loss: 1.5317 - acc: 0.3757 - val_loss: 1.9258 - val_acc: 0.2267 Epoch 342/1000 700/700 [==============================] - 0s 578us/step - loss: 1.5313 - acc: 0.3600 - val_loss: 1.9441 - val_acc: 0.2167 Epoch 343/1000 700/700 [==============================] - 0s 588us/step - loss: 1.5310 - acc: 0.3686 - val_loss: 1.9333 - val_acc: 0.2267 Epoch 344/1000 700/700 [==============================] - 0s 521us/step - loss: 1.5308 - acc: 0.3671 - val_loss: 1.9431 - val_acc: 0.2300 Epoch 345/1000 700/700 [==============================] - 0s 462us/step - loss: 1.5291 - acc: 0.3686 - val_loss: 1.9443 - val_acc: 0.2567 Epoch 346/1000 700/700 [==============================] - 0s 484us/step - loss: 1.5301 - acc: 0.3700 - val_loss: 1.9314 - val_acc: 0.2267 Epoch 347/1000 700/700 [==============================] - 0s 559us/step - loss: 1.5277 - acc: 0.3800 - val_loss: 1.9199 - val_acc: 0.2200 Epoch 348/1000 700/700 [==============================] - 0s 571us/step - loss: 1.5284 - acc: 0.3643 - val_loss: 1.9294 - val_acc: 0.2167 Epoch 349/1000 700/700 [==============================] - 0s 519us/step - loss: 1.5281 - acc: 0.3700 - val_loss: 1.9273 - val_acc: 0.2133 Epoch 350/1000 700/700 [==============================] - 0s 469us/step - loss: 1.5282 - acc: 0.3657 - val_loss: 1.9311 - val_acc: 0.2300 Epoch 351/1000 700/700 [==============================] - 0s 456us/step - loss: 1.5264 - acc: 0.3757 - val_loss: 1.9309 - val_acc: 0.2333 Epoch 352/1000 700/700 [==============================] - 0s 571us/step - loss: 1.5283 - acc: 0.3729 - val_loss: 1.9282 - val_acc: 0.2300 Epoch 353/1000 700/700 [==============================] - 0s 596us/step - loss: 1.5256 - acc: 0.3657 - val_loss: 1.9422 - val_acc: 0.2300 Epoch 354/1000 700/700 [==============================] - 0s 596us/step - loss: 1.5279 - acc: 0.3700 - val_loss: 1.9350 - val_acc: 0.2167 Epoch 355/1000 700/700 [==============================] - 0s 490us/step - loss: 1.5261 - acc: 0.3600 - val_loss: 1.9553 - val_acc: 0.2267 Epoch 356/1000 700/700 [==============================] - 0s 565us/step - loss: 1.5260 - acc: 0.3700 - val_loss: 1.9442 - val_acc: 0.2433 Epoch 357/1000 700/700 [==============================] - 0s 493us/step - loss: 1.5259 - acc: 0.3743 - val_loss: 1.9355 - val_acc: 0.2267 Epoch 358/1000 700/700 [==============================] - 0s 521us/step - loss: 1.5251 - acc: 0.3729 - val_loss: 1.9494 - val_acc: 0.2233 Epoch 359/1000 700/700 [==============================] - 0s 502us/step - loss: 1.5251 - acc: 0.3729 - val_loss: 1.9450 - val_acc: 0.2133 Epoch 360/1000 700/700 [==============================] - 0s 507us/step - loss: 1.5232 - acc: 0.3743 - val_loss: 1.9454 - val_acc: 0.2233 Epoch 361/1000 700/700 [==============================] - 0s 496us/step - loss: 1.5232 - acc: 0.3686 - val_loss: 1.9485 - val_acc: 0.2300 Epoch 362/1000 700/700 [==============================] - 0s 493us/step - loss: 1.5240 - acc: 0.3643 - val_loss: 1.9508 - val_acc: 0.2267 Epoch 363/1000 700/700 [==============================] - 0s 536us/step - loss: 1.5215 - acc: 0.3757 - val_loss: 1.9527 - val_acc: 0.2333 Epoch 364/1000 700/700 [==============================] - 0s 503us/step - loss: 1.5230 - acc: 0.3643 - val_loss: 1.9381 - val_acc: 0.2300 Epoch 365/1000 700/700 [==============================] - 0s 556us/step - loss: 1.5224 - acc: 0.3771 - val_loss: 1.9524 - val_acc: 0.2267 Epoch 366/1000 700/700 [==============================] - 0s 549us/step - loss: 1.5222 - acc: 0.3686 - val_loss: 1.9406 - val_acc: 0.2133 Epoch 367/1000 700/700 [==============================] - 0s 578us/step - loss: 1.5221 - acc: 0.3757 - val_loss: 1.9567 - val_acc: 0.2300 Epoch 368/1000 700/700 [==============================] - 1s 854us/step - loss: 1.5206 - acc: 0.3786 - val_loss: 1.9551 - val_acc: 0.2367 Epoch 369/1000 700/700 [==============================] - 1s 1ms/step - loss: 1.5207 - acc: 0.3629 - val_loss: 1.9321 - val_acc: 0.2367 Epoch 370/1000 700/700 [==============================] - 1s 896us/step - loss: 1.5200 - acc: 0.3757 - val_loss: 1.9534 - val_acc: 0.2400 Epoch 371/1000 700/700 [==============================] - 1s 745us/step - loss: 1.5209 - acc: 0.3671 - val_loss: 1.9508 - val_acc: 0.2233 Epoch 372/1000 700/700 [==============================] - 0s 495us/step - loss: 1.5195 - acc: 0.3729 - val_loss: 1.9590 - val_acc: 0.2333 Epoch 373/1000 700/700 [==============================] - 0s 494us/step - loss: 1.5205 - acc: 0.3757 - val_loss: 1.9453 - val_acc: 0.2133 Epoch 374/1000 700/700 [==============================] - 0s 493us/step - loss: 1.5197 - acc: 0.3686 - val_loss: 1.9514 - val_acc: 0.2267 Epoch 375/1000 700/700 [==============================] - 0s 550us/step - loss: 1.5181 - acc: 0.3843 - val_loss: 1.9386 - val_acc: 0.2267 Epoch 376/1000 700/700 [==============================] - 0s 577us/step - loss: 1.5182 - acc: 0.3800 - val_loss: 1.9487 - val_acc: 0.2167 Epoch 377/1000 700/700 [==============================] - 0s 490us/step - loss: 1.5170 - acc: 0.3743 - val_loss: 1.9760 - val_acc: 0.2267 Epoch 378/1000 700/700 [==============================] - 0s 482us/step - loss: 1.5182 - acc: 0.3743 - val_loss: 1.9761 - val_acc: 0.2367 Epoch 379/1000 700/700 [==============================] - 0s 496us/step - loss: 1.5188 - acc: 0.3700 - val_loss: 1.9516 - val_acc: 0.2367 Epoch 380/1000 700/700 [==============================] - 0s 557us/step - loss: 1.5166 - acc: 0.3671 - val_loss: 1.9602 - val_acc: 0.2567 Epoch 381/1000 700/700 [==============================] - 0s 513us/step - loss: 1.5180 - acc: 0.3786 - val_loss: 1.9711 - val_acc: 0.2167 Epoch 382/1000 700/700 [==============================] - 0s 509us/step - loss: 1.5161 - acc: 0.3743 - val_loss: 1.9585 - val_acc: 0.2267 Epoch 383/1000 700/700 [==============================] - 0s 494us/step - loss: 1.5155 - acc: 0.3700 - val_loss: 1.9714 - val_acc: 0.2433 Epoch 384/1000 700/700 [==============================] - 0s 543us/step - loss: 1.5164 - acc: 0.3771 - val_loss: 1.9509 - val_acc: 0.2233 Epoch 385/1000 700/700 [==============================] - 0s 580us/step - loss: 1.5163 - acc: 0.3743 - val_loss: 1.9579 - val_acc: 0.2267 Epoch 386/1000 700/700 [==============================] - 0s 566us/step - loss: 1.5156 - acc: 0.3714 - val_loss: 1.9502 - val_acc: 0.2333 Epoch 387/1000 700/700 [==============================] - 0s 549us/step - loss: 1.5153 - acc: 0.3743 - val_loss: 1.9578 - val_acc: 0.2300 Epoch 388/1000 700/700 [==============================] - 0s 571us/step - loss: 1.5143 - acc: 0.3714 - val_loss: 1.9668 - val_acc: 0.2467 Epoch 389/1000 700/700 [==============================] - 0s 514us/step - loss: 1.5158 - acc: 0.3800 - val_loss: 1.9490 - val_acc: 0.2267 Epoch 390/1000 700/700 [==============================] - 0s 479us/step - loss: 1.5125 - acc: 0.3671 - val_loss: 1.9572 - val_acc: 0.2400 Epoch 391/1000 700/700 [==============================] - 0s 492us/step - loss: 1.5132 - acc: 0.3757 - val_loss: 1.9539 - val_acc: 0.2367 Epoch 392/1000 700/700 [==============================] - 0s 510us/step - loss: 1.5137 - acc: 0.3714 - val_loss: 1.9599 - val_acc: 0.2233 Epoch 393/1000 700/700 [==============================] - 0s 527us/step - loss: 1.5137 - acc: 0.3757 - val_loss: 1.9730 - val_acc: 0.2233 Epoch 394/1000 700/700 [==============================] - 0s 506us/step - loss: 1.5136 - acc: 0.3757 - val_loss: 1.9565 - val_acc: 0.2267 Epoch 395/1000 700/700 [==============================] - 0s 547us/step - loss: 1.5132 - acc: 0.3771 - val_loss: 1.9565 - val_acc: 0.2167 Epoch 396/1000 700/700 [==============================] - 0s 474us/step - loss: 1.5124 - acc: 0.3771 - val_loss: 1.9619 - val_acc: 0.2167 Epoch 397/1000 700/700 [==============================] - 0s 496us/step - loss: 1.5111 - acc: 0.3857 - val_loss: 1.9755 - val_acc: 0.2367 Epoch 398/1000 700/700 [==============================] - 0s 490us/step - loss: 1.5124 - acc: 0.3643 - val_loss: 1.9588 - val_acc: 0.2200 Epoch 399/1000 700/700 [==============================] - 0s 506us/step - loss: 1.5107 - acc: 0.3743 - val_loss: 1.9872 - val_acc: 0.2333 Epoch 400/1000 700/700 [==============================] - 0s 476us/step - loss: 1.5113 - acc: 0.3643 - val_loss: 1.9599 - val_acc: 0.2167 Epoch 401/1000 700/700 [==============================] - 0s 504us/step - loss: 1.5109 - acc: 0.3657 - val_loss: 1.9595 - val_acc: 0.2267 Epoch 402/1000 700/700 [==============================] - 0s 486us/step - loss: 1.5086 - acc: 0.3771 - val_loss: 1.9650 - val_acc: 0.2233 Epoch 403/1000 700/700 [==============================] - 0s 450us/step - loss: 1.5068 - acc: 0.3843 - val_loss: 1.9930 - val_acc: 0.2200 Epoch 404/1000 700/700 [==============================] - 0s 526us/step - loss: 1.5085 - acc: 0.3743 - val_loss: 1.9678 - val_acc: 0.2333 Epoch 405/1000 700/700 [==============================] - 0s 513us/step - loss: 1.5074 - acc: 0.3800 - val_loss: 1.9811 - val_acc: 0.2300 Epoch 406/1000 700/700 [==============================] - 0s 469us/step - loss: 1.5085 - acc: 0.3771 - val_loss: 1.9745 - val_acc: 0.2200 Epoch 407/1000 700/700 [==============================] - 0s 519us/step - loss: 1.5080 - acc: 0.3714 - val_loss: 1.9792 - val_acc: 0.2267 Epoch 408/1000 700/700 [==============================] - 0s 511us/step - loss: 1.5077 - acc: 0.3757 - val_loss: 1.9706 - val_acc: 0.2267 Epoch 409/1000 700/700 [==============================] - 0s 526us/step - loss: 1.5040 - acc: 0.3700 - val_loss: 1.9783 - val_acc: 0.2367 Epoch 410/1000 700/700 [==============================] - 0s 500us/step - loss: 1.5058 - acc: 0.3771 - val_loss: 1.9611 - val_acc: 0.2267 Epoch 411/1000 700/700 [==============================] - 0s 502us/step - loss: 1.5056 - acc: 0.3714 - val_loss: 1.9817 - val_acc: 0.2300 Epoch 412/1000 700/700 [==============================] - 0s 483us/step - loss: 1.5048 - acc: 0.3843 - val_loss: 1.9719 - val_acc: 0.2233 Epoch 413/1000 700/700 [==============================] - 0s 509us/step - loss: 1.5033 - acc: 0.3771 - val_loss: 1.9760 - val_acc: 0.2333 Epoch 414/1000 700/700 [==============================] - 0s 494us/step - loss: 1.5043 - acc: 0.3786 - val_loss: 1.9842 - val_acc: 0.2333 Epoch 415/1000 700/700 [==============================] - 0s 513us/step - loss: 1.5015 - acc: 0.3786 - val_loss: 1.9778 - val_acc: 0.2333 Epoch 416/1000 700/700 [==============================] - 0s 517us/step - loss: 1.5031 - acc: 0.3843 - val_loss: 1.9889 - val_acc: 0.2267 Epoch 417/1000 700/700 [==============================] - 0s 504us/step - loss: 1.5032 - acc: 0.3786 - val_loss: 1.9804 - val_acc: 0.2200 Epoch 418/1000 700/700 [==============================] - 0s 544us/step - loss: 1.5016 - acc: 0.3871 - val_loss: 1.9744 - val_acc: 0.2333 Epoch 419/1000 700/700 [==============================] - 0s 464us/step - loss: 1.5019 - acc: 0.3786 - val_loss: 1.9663 - val_acc: 0.2200 Epoch 420/1000 700/700 [==============================] - 0s 483us/step - loss: 1.5015 - acc: 0.3800 - val_loss: 1.9877 - val_acc: 0.2300 Epoch 421/1000 700/700 [==============================] - 0s 519us/step - loss: 1.5011 - acc: 0.3829 - val_loss: 1.9692 - val_acc: 0.2433 Epoch 422/1000 700/700 [==============================] - 0s 483us/step - loss: 1.5004 - acc: 0.3743 - val_loss: 1.9747 - val_acc: 0.2433 Epoch 423/1000 700/700 [==============================] - 0s 470us/step - loss: 1.5003 - acc: 0.3814 - val_loss: 1.9792 - val_acc: 0.2333 Epoch 424/1000 700/700 [==============================] - 0s 499us/step - loss: 1.5001 - acc: 0.3757 - val_loss: 1.9678 - val_acc: 0.2200 Epoch 425/1000 700/700 [==============================] - 0s 527us/step - loss: 1.4991 - acc: 0.3886 - val_loss: 1.9619 - val_acc: 0.2400 Epoch 426/1000 700/700 [==============================] - 0s 494us/step - loss: 1.4984 - acc: 0.3914 - val_loss: 1.9792 - val_acc: 0.2167 Epoch 427/1000 700/700 [==============================] - 0s 477us/step - loss: 1.4983 - acc: 0.3814 - val_loss: 1.9833 - val_acc: 0.2533 Epoch 428/1000 700/700 [==============================] - 0s 489us/step - loss: 1.4984 - acc: 0.3843 - val_loss: 2.0046 - val_acc: 0.2300 Epoch 429/1000 700/700 [==============================] - 0s 506us/step - loss: 1.4982 - acc: 0.3771 - val_loss: 1.9696 - val_acc: 0.2300 Epoch 430/1000 700/700 [==============================] - 0s 476us/step - loss: 1.4977 - acc: 0.3814 - val_loss: 1.9811 - val_acc: 0.2467 Epoch 431/1000 700/700 [==============================] - 0s 467us/step - loss: 1.4990 - acc: 0.3786 - val_loss: 1.9880 - val_acc: 0.2333 Epoch 432/1000 700/700 [==============================] - 0s 541us/step - loss: 1.4974 - acc: 0.3843 - val_loss: 1.9760 - val_acc: 0.2233 Epoch 433/1000 700/700 [==============================] - 0s 503us/step - loss: 1.4967 - acc: 0.3814 - val_loss: 1.9850 - val_acc: 0.2367 Epoch 434/1000 700/700 [==============================] - 0s 483us/step - loss: 1.4976 - acc: 0.3743 - val_loss: 1.9881 - val_acc: 0.2233 Epoch 435/1000 700/700 [==============================] - 0s 496us/step - loss: 1.4957 - acc: 0.3900 - val_loss: 1.9819 - val_acc: 0.2267 Epoch 436/1000 700/700 [==============================] - 0s 493us/step - loss: 1.4975 - acc: 0.3843 - val_loss: 1.9691 - val_acc: 0.2233 Epoch 437/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4957 - acc: 0.3943 - val_loss: 1.9951 - val_acc: 0.2200 Epoch 438/1000 700/700 [==============================] - 0s 521us/step - loss: 1.4948 - acc: 0.3857 - val_loss: 1.9635 - val_acc: 0.2300 Epoch 439/1000 700/700 [==============================] - 0s 502us/step - loss: 1.4946 - acc: 0.3771 - val_loss: 1.9781 - val_acc: 0.2233 Epoch 440/1000 700/700 [==============================] - 0s 519us/step - loss: 1.4960 - acc: 0.3800 - val_loss: 1.9796 - val_acc: 0.2300 Epoch 441/1000 700/700 [==============================] - 0s 578us/step - loss: 1.4951 - acc: 0.3886 - val_loss: 1.9825 - val_acc: 0.2300 Epoch 442/1000 700/700 [==============================] - 0s 495us/step - loss: 1.4944 - acc: 0.3829 - val_loss: 1.9939 - val_acc: 0.2233 Epoch 443/1000 700/700 [==============================] - 0s 527us/step - loss: 1.4937 - acc: 0.3857 - val_loss: 1.9899 - val_acc: 0.2400 Epoch 444/1000 700/700 [==============================] - 0s 523us/step - loss: 1.4946 - acc: 0.3829 - val_loss: 1.9926 - val_acc: 0.2233 Epoch 445/1000 700/700 [==============================] - 0s 541us/step - loss: 1.4942 - acc: 0.3829 - val_loss: 1.9955 - val_acc: 0.2300 Epoch 446/1000 700/700 [==============================] - 0s 494us/step - loss: 1.4931 - acc: 0.3886 - val_loss: 2.0029 - val_acc: 0.2267 Epoch 447/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4926 - acc: 0.3800 - val_loss: 2.0142 - val_acc: 0.2300 Epoch 448/1000 700/700 [==============================] - 0s 530us/step - loss: 1.4927 - acc: 0.3843 - val_loss: 1.9924 - val_acc: 0.2267 Epoch 449/1000 700/700 [==============================] - 0s 502us/step - loss: 1.4918 - acc: 0.3886 - val_loss: 2.0006 - val_acc: 0.2333 Epoch 450/1000 700/700 [==============================] - 0s 457us/step - loss: 1.4929 - acc: 0.3843 - val_loss: 1.9930 - val_acc: 0.2233 Epoch 451/1000 700/700 [==============================] - 0s 539us/step - loss: 1.4919 - acc: 0.3843 - val_loss: 1.9986 - val_acc: 0.2233 Epoch 452/1000 700/700 [==============================] - 0s 581us/step - loss: 1.4908 - acc: 0.3857 - val_loss: 1.9947 - val_acc: 0.2300 Epoch 453/1000 700/700 [==============================] - 0s 574us/step - loss: 1.4910 - acc: 0.3871 - val_loss: 1.9899 - val_acc: 0.2333 Epoch 454/1000 700/700 [==============================] - 0s 550us/step - loss: 1.4908 - acc: 0.3871 - val_loss: 1.9967 - val_acc: 0.2333 Epoch 455/1000 700/700 [==============================] - 0s 503us/step - loss: 1.4907 - acc: 0.3843 - val_loss: 1.9881 - val_acc: 0.2233 Epoch 456/1000 700/700 [==============================] - 0s 549us/step - loss: 1.4898 - acc: 0.3786 - val_loss: 1.9915 - val_acc: 0.2467 Epoch 457/1000 700/700 [==============================] - 0s 554us/step - loss: 1.4899 - acc: 0.3871 - val_loss: 1.9972 - val_acc: 0.2333 Epoch 458/1000 700/700 [==============================] - 0s 540us/step - loss: 1.4902 - acc: 0.3857 - val_loss: 1.9926 - val_acc: 0.2267 Epoch 459/1000 700/700 [==============================] - 0s 580us/step - loss: 1.4881 - acc: 0.3943 - val_loss: 1.9909 - val_acc: 0.2433 Epoch 460/1000 700/700 [==============================] - 0s 598us/step - loss: 1.4900 - acc: 0.3886 - val_loss: 2.0007 - val_acc: 0.2300 Epoch 461/1000 700/700 [==============================] - 0s 613us/step - loss: 1.4883 - acc: 0.3957 - val_loss: 2.0033 - val_acc: 0.2300 Epoch 462/1000 700/700 [==============================] - 0s 581us/step - loss: 1.4883 - acc: 0.3900 - val_loss: 1.9937 - val_acc: 0.2267 Epoch 463/1000 700/700 [==============================] - 0s 482us/step - loss: 1.4872 - acc: 0.3857 - val_loss: 2.0002 - val_acc: 0.2467 Epoch 464/1000 700/700 [==============================] - 0s 487us/step - loss: 1.4871 - acc: 0.3871 - val_loss: 1.9888 - val_acc: 0.2333 Epoch 465/1000 700/700 [==============================] - 0s 506us/step - loss: 1.4877 - acc: 0.3900 - val_loss: 1.9972 - val_acc: 0.2233 Epoch 466/1000 700/700 [==============================] - 0s 492us/step - loss: 1.4871 - acc: 0.3757 - val_loss: 2.0004 - val_acc: 0.2267 Epoch 467/1000 700/700 [==============================] - 0s 526us/step - loss: 1.4873 - acc: 0.3871 - val_loss: 2.0061 - val_acc: 0.2300 Epoch 468/1000 700/700 [==============================] - 0s 521us/step - loss: 1.4865 - acc: 0.3829 - val_loss: 1.9905 - val_acc: 0.2267 Epoch 469/1000 700/700 [==============================] - 0s 491us/step - loss: 1.4859 - acc: 0.3871 - val_loss: 2.0313 - val_acc: 0.2333 Epoch 470/1000 700/700 [==============================] - 0s 523us/step - loss: 1.4871 - acc: 0.3871 - val_loss: 2.0096 - val_acc: 0.2233 Epoch 471/1000 700/700 [==============================] - 0s 460us/step - loss: 1.4859 - acc: 0.3957 - val_loss: 2.0055 - val_acc: 0.2267 Epoch 472/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4845 - acc: 0.3971 - val_loss: 2.0080 - val_acc: 0.2367 Epoch 473/1000 700/700 [==============================] - 0s 540us/step - loss: 1.4850 - acc: 0.3914 - val_loss: 2.0121 - val_acc: 0.2367 Epoch 474/1000 700/700 [==============================] - 0s 496us/step - loss: 1.4838 - acc: 0.3900 - val_loss: 1.9976 - val_acc: 0.2267 Epoch 475/1000 700/700 [==============================] - 0s 473us/step - loss: 1.4842 - acc: 0.3900 - val_loss: 2.0047 - val_acc: 0.2233 Epoch 476/1000 700/700 [==============================] - 0s 553us/step - loss: 1.4835 - acc: 0.3900 - val_loss: 2.0056 - val_acc: 0.2267 Epoch 477/1000 700/700 [==============================] - 0s 493us/step - loss: 1.4839 - acc: 0.3900 - val_loss: 2.0095 - val_acc: 0.2267 Epoch 478/1000 700/700 [==============================] - 0s 523us/step - loss: 1.4838 - acc: 0.3929 - val_loss: 2.0056 - val_acc: 0.2333 Epoch 479/1000 700/700 [==============================] - 0s 577us/step - loss: 1.4833 - acc: 0.3900 - val_loss: 2.0015 - val_acc: 0.2300 Epoch 480/1000 700/700 [==============================] - 0s 541us/step - loss: 1.4824 - acc: 0.3957 - val_loss: 2.0102 - val_acc: 0.2367 Epoch 481/1000 700/700 [==============================] - 0s 527us/step - loss: 1.4821 - acc: 0.3871 - val_loss: 2.0187 - val_acc: 0.2400 Epoch 482/1000 700/700 [==============================] - 0s 513us/step - loss: 1.4810 - acc: 0.3986 - val_loss: 2.0164 - val_acc: 0.2300 Epoch 483/1000 700/700 [==============================] - 0s 502us/step - loss: 1.4821 - acc: 0.4000 - val_loss: 2.0144 - val_acc: 0.2367 Epoch 484/1000 700/700 [==============================] - 0s 519us/step - loss: 1.4815 - acc: 0.3986 - val_loss: 2.0162 - val_acc: 0.2400 Epoch 485/1000 700/700 [==============================] - 0s 471us/step - loss: 1.4811 - acc: 0.4029 - val_loss: 2.0154 - val_acc: 0.2300 Epoch 486/1000 700/700 [==============================] - 0s 478us/step - loss: 1.4808 - acc: 0.3857 - val_loss: 2.0074 - val_acc: 0.2467 Epoch 487/1000 700/700 [==============================] - 0s 549us/step - loss: 1.4811 - acc: 0.3957 - val_loss: 2.0075 - val_acc: 0.2500 Epoch 488/1000 700/700 [==============================] - 0s 516us/step - loss: 1.4808 - acc: 0.3914 - val_loss: 2.0157 - val_acc: 0.2500 Epoch 489/1000 700/700 [==============================] - 0s 489us/step - loss: 1.4804 - acc: 0.3886 - val_loss: 2.0031 - val_acc: 0.2267 Epoch 490/1000 700/700 [==============================] - 0s 603us/step - loss: 1.4809 - acc: 0.3900 - val_loss: 2.0000 - val_acc: 0.2333 Epoch 491/1000 700/700 [==============================] - 0s 489us/step - loss: 1.4808 - acc: 0.3871 - val_loss: 2.0215 - val_acc: 0.2300 Epoch 492/1000 700/700 [==============================] - 0s 507us/step - loss: 1.4800 - acc: 0.3914 - val_loss: 2.0007 - val_acc: 0.2267 Epoch 493/1000 700/700 [==============================] - 0s 567us/step - loss: 1.4799 - acc: 0.4014 - val_loss: 2.0076 - val_acc: 0.2333 Epoch 494/1000 700/700 [==============================] - 0s 483us/step - loss: 1.4802 - acc: 0.3900 - val_loss: 2.0072 - val_acc: 0.2233 Epoch 495/1000 700/700 [==============================] - 0s 544us/step - loss: 1.4792 - acc: 0.4029 - val_loss: 2.0260 - val_acc: 0.2333 Epoch 496/1000 700/700 [==============================] - 0s 498us/step - loss: 1.4786 - acc: 0.3857 - val_loss: 2.0112 - val_acc: 0.2433 Epoch 497/1000 700/700 [==============================] - 0s 479us/step - loss: 1.4773 - acc: 0.3929 - val_loss: 2.0122 - val_acc: 0.2467 Epoch 498/1000 700/700 [==============================] - 0s 524us/step - loss: 1.4763 - acc: 0.3886 - val_loss: 2.0468 - val_acc: 0.2367 Epoch 499/1000 700/700 [==============================] - 0s 489us/step - loss: 1.4775 - acc: 0.4014 - val_loss: 2.0281 - val_acc: 0.2367 Epoch 500/1000 700/700 [==============================] - 0s 514us/step - loss: 1.4780 - acc: 0.3929 - val_loss: 2.0262 - val_acc: 0.2367 Epoch 501/1000 700/700 [==============================] - 0s 496us/step - loss: 1.4782 - acc: 0.4000 - val_loss: 2.0258 - val_acc: 0.2300 Epoch 502/1000 700/700 [==============================] - 0s 487us/step - loss: 1.4760 - acc: 0.3943 - val_loss: 2.0261 - val_acc: 0.2267 Epoch 503/1000 700/700 [==============================] - 0s 480us/step - loss: 1.4766 - acc: 0.3957 - val_loss: 2.0202 - val_acc: 0.2267 Epoch 504/1000 700/700 [==============================] - 0s 494us/step - loss: 1.4757 - acc: 0.3971 - val_loss: 2.0240 - val_acc: 0.2267 Epoch 505/1000 700/700 [==============================] - 0s 543us/step - loss: 1.4754 - acc: 0.3957 - val_loss: 2.0196 - val_acc: 0.2400 Epoch 506/1000 700/700 [==============================] - 0s 492us/step - loss: 1.4754 - acc: 0.3986 - val_loss: 2.0154 - val_acc: 0.2300 Epoch 507/1000 700/700 [==============================] - 0s 519us/step - loss: 1.4769 - acc: 0.3986 - val_loss: 2.0225 - val_acc: 0.2233 Epoch 508/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4750 - acc: 0.3900 - val_loss: 2.0240 - val_acc: 0.2267 Epoch 509/1000 700/700 [==============================] - 0s 521us/step - loss: 1.4744 - acc: 0.3943 - val_loss: 2.0373 - val_acc: 0.2333 Epoch 510/1000 700/700 [==============================] - 0s 527us/step - loss: 1.4745 - acc: 0.3914 - val_loss: 2.0230 - val_acc: 0.2233 Epoch 511/1000 700/700 [==============================] - 0s 510us/step - loss: 1.4737 - acc: 0.4029 - val_loss: 2.0154 - val_acc: 0.2267 Epoch 512/1000 700/700 [==============================] - 0s 492us/step - loss: 1.4739 - acc: 0.3971 - val_loss: 2.0106 - val_acc: 0.2467 Epoch 513/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4732 - acc: 0.3986 - val_loss: 2.0137 - val_acc: 0.2433 Epoch 514/1000 700/700 [==============================] - 0s 504us/step - loss: 1.4727 - acc: 0.4000 - val_loss: 2.0268 - val_acc: 0.2267 Epoch 515/1000 700/700 [==============================] - 0s 513us/step - loss: 1.4734 - acc: 0.4014 - val_loss: 2.0250 - val_acc: 0.2300 Epoch 516/1000 700/700 [==============================] - 0s 484us/step - loss: 1.4741 - acc: 0.3957 - val_loss: 2.0273 - val_acc: 0.2267 Epoch 517/1000 700/700 [==============================] - 0s 523us/step - loss: 1.4706 - acc: 0.3929 - val_loss: 2.0338 - val_acc: 0.2500 Epoch 518/1000 700/700 [==============================] - 0s 507us/step - loss: 1.4740 - acc: 0.4000 - val_loss: 2.0342 - val_acc: 0.2267 Epoch 519/1000 700/700 [==============================] - 0s 477us/step - loss: 1.4727 - acc: 0.4043 - val_loss: 2.0238 - val_acc: 0.2300 Epoch 520/1000 700/700 [==============================] - 0s 517us/step - loss: 1.4718 - acc: 0.3957 - val_loss: 2.0307 - val_acc: 0.2400 Epoch 521/1000 700/700 [==============================] - 0s 492us/step - loss: 1.4713 - acc: 0.4129 - val_loss: 2.0126 - val_acc: 0.2333 Epoch 522/1000 700/700 [==============================] - 0s 537us/step - loss: 1.4725 - acc: 0.3986 - val_loss: 2.0341 - val_acc: 0.2267 Epoch 523/1000 700/700 [==============================] - 1s 826us/step - loss: 1.4721 - acc: 0.3929 - val_loss: 2.0293 - val_acc: 0.2267 Epoch 524/1000 700/700 [==============================] - 0s 588us/step - loss: 1.4711 - acc: 0.3986 - val_loss: 2.0230 - val_acc: 0.2333 Epoch 525/1000 700/700 [==============================] - 0s 597us/step - loss: 1.4696 - acc: 0.4000 - val_loss: 2.0285 - val_acc: 0.2467 Epoch 526/1000 700/700 [==============================] - 0s 486us/step - loss: 1.4711 - acc: 0.4029 - val_loss: 2.0247 - val_acc: 0.2267 Epoch 527/1000 700/700 [==============================] - 0s 506us/step - loss: 1.4702 - acc: 0.3929 - val_loss: 2.0259 - val_acc: 0.2300 Epoch 528/1000 700/700 [==============================] - 0s 517us/step - loss: 1.4694 - acc: 0.4029 - val_loss: 2.0291 - val_acc: 0.2267 Epoch 529/1000 700/700 [==============================] - 0s 500us/step - loss: 1.4681 - acc: 0.3943 - val_loss: 2.0337 - val_acc: 0.2267 Epoch 530/1000 700/700 [==============================] - 0s 490us/step - loss: 1.4686 - acc: 0.4000 - val_loss: 2.0412 - val_acc: 0.2267 Epoch 531/1000 700/700 [==============================] - 0s 513us/step - loss: 1.4689 - acc: 0.3957 - val_loss: 2.0247 - val_acc: 0.2433 Epoch 532/1000 700/700 [==============================] - 0s 534us/step - loss: 1.4690 - acc: 0.4014 - val_loss: 2.0352 - val_acc: 0.2433 Epoch 533/1000 700/700 [==============================] - 0s 467us/step - loss: 1.4685 - acc: 0.4000 - val_loss: 2.0311 - val_acc: 0.2300 Epoch 534/1000 700/700 [==============================] - 0s 459us/step - loss: 1.4688 - acc: 0.3971 - val_loss: 2.0267 - val_acc: 0.2300 Epoch 535/1000 700/700 [==============================] - 0s 466us/step - loss: 1.4673 - acc: 0.4043 - val_loss: 2.0499 - val_acc: 0.2433 Epoch 536/1000 700/700 [==============================] - 0s 510us/step - loss: 1.4671 - acc: 0.4043 - val_loss: 2.0468 - val_acc: 0.2267 Epoch 537/1000 700/700 [==============================] - 0s 497us/step - loss: 1.4676 - acc: 0.4029 - val_loss: 2.0293 - val_acc: 0.2300 Epoch 538/1000 700/700 [==============================] - 0s 510us/step - loss: 1.4672 - acc: 0.3957 - val_loss: 2.0361 - val_acc: 0.2367 Epoch 539/1000 700/700 [==============================] - 0s 489us/step - loss: 1.4691 - acc: 0.3943 - val_loss: 2.0313 - val_acc: 0.2267 Epoch 540/1000 700/700 [==============================] - 0s 483us/step - loss: 1.4678 - acc: 0.4014 - val_loss: 2.0397 - val_acc: 0.2267 Epoch 541/1000 700/700 [==============================] - 0s 479us/step - loss: 1.4667 - acc: 0.4014 - val_loss: 2.0371 - val_acc: 0.2267 Epoch 542/1000 700/700 [==============================] - 0s 480us/step - loss: 1.4665 - acc: 0.4057 - val_loss: 2.0430 - val_acc: 0.2433 Epoch 543/1000 700/700 [==============================] - 0s 490us/step - loss: 1.4670 - acc: 0.4000 - val_loss: 2.0292 - val_acc: 0.2333 Epoch 544/1000 700/700 [==============================] - 0s 484us/step - loss: 1.4657 - acc: 0.3943 - val_loss: 2.0243 - val_acc: 0.2367 Epoch 545/1000 700/700 [==============================] - 0s 487us/step - loss: 1.4665 - acc: 0.4014 - val_loss: 2.0327 - val_acc: 0.2300 Epoch 546/1000 700/700 [==============================] - 0s 464us/step - loss: 1.4635 - acc: 0.4000 - val_loss: 2.0464 - val_acc: 0.2533 Epoch 547/1000 700/700 [==============================] - 0s 476us/step - loss: 1.4657 - acc: 0.4000 - val_loss: 2.0517 - val_acc: 0.2400 Epoch 548/1000 700/700 [==============================] - 0s 494us/step - loss: 1.4643 - acc: 0.3971 - val_loss: 2.0295 - val_acc: 0.2300 Epoch 549/1000 700/700 [==============================] - 0s 482us/step - loss: 1.4647 - acc: 0.4043 - val_loss: 2.0262 - val_acc: 0.2333 Epoch 550/1000 700/700 [==============================] - 0s 500us/step - loss: 1.4638 - acc: 0.4000 - val_loss: 2.0388 - val_acc: 0.2300 Epoch 551/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4647 - acc: 0.4000 - val_loss: 2.0365 - val_acc: 0.2300 Epoch 552/1000 700/700 [==============================] - 0s 526us/step - loss: 1.4632 - acc: 0.4086 - val_loss: 2.0365 - val_acc: 0.2333 Epoch 553/1000 700/700 [==============================] - 0s 490us/step - loss: 1.4654 - acc: 0.4000 - val_loss: 2.0342 - val_acc: 0.2300 Epoch 554/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4630 - acc: 0.3986 - val_loss: 2.0435 - val_acc: 0.2300 Epoch 555/1000 700/700 [==============================] - 0s 493us/step - loss: 1.4637 - acc: 0.4057 - val_loss: 2.0446 - val_acc: 0.2400 Epoch 556/1000 700/700 [==============================] - 0s 507us/step - loss: 1.4621 - acc: 0.4000 - val_loss: 2.0385 - val_acc: 0.2467 Epoch 557/1000 700/700 [==============================] - 0s 519us/step - loss: 1.4614 - acc: 0.4114 - val_loss: 2.0554 - val_acc: 0.2500 Epoch 558/1000 700/700 [==============================] - 0s 500us/step - loss: 1.4631 - acc: 0.4029 - val_loss: 2.0380 - val_acc: 0.2333 Epoch 559/1000 700/700 [==============================] - 0s 520us/step - loss: 1.4614 - acc: 0.4029 - val_loss: 2.0413 - val_acc: 0.2533 Epoch 560/1000 700/700 [==============================] - 0s 521us/step - loss: 1.4612 - acc: 0.4014 - val_loss: 2.0446 - val_acc: 0.2567 Epoch 561/1000 700/700 [==============================] - 0s 503us/step - loss: 1.4623 - acc: 0.4100 - val_loss: 2.0394 - val_acc: 0.2267 Epoch 562/1000 700/700 [==============================] - 0s 493us/step - loss: 1.4619 - acc: 0.4029 - val_loss: 2.0325 - val_acc: 0.2300 Epoch 563/1000 700/700 [==============================] - 0s 514us/step - loss: 1.4613 - acc: 0.4000 - val_loss: 2.0365 - val_acc: 0.2267 Epoch 564/1000 700/700 [==============================] - 0s 508us/step - loss: 1.4611 - acc: 0.4071 - val_loss: 2.0515 - val_acc: 0.2300 Epoch 565/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4603 - acc: 0.4043 - val_loss: 2.0375 - val_acc: 0.2333 Epoch 566/1000 700/700 [==============================] - 0s 506us/step - loss: 1.4620 - acc: 0.4100 - val_loss: 2.0473 - val_acc: 0.2300 Epoch 567/1000 700/700 [==============================] - 0s 474us/step - loss: 1.4599 - acc: 0.4171 - val_loss: 2.0504 - val_acc: 0.2300 Epoch 568/1000 700/700 [==============================] - 0s 502us/step - loss: 1.4598 - acc: 0.4057 - val_loss: 2.0486 - val_acc: 0.2433 Epoch 569/1000 700/700 [==============================] - 0s 506us/step - loss: 1.4594 - acc: 0.4057 - val_loss: 2.0432 - val_acc: 0.2533 Epoch 570/1000 700/700 [==============================] - 0s 489us/step - loss: 1.4586 - acc: 0.4114 - val_loss: 2.0507 - val_acc: 0.2333 Epoch 571/1000 700/700 [==============================] - 0s 513us/step - loss: 1.4588 - acc: 0.4043 - val_loss: 2.0480 - val_acc: 0.2300 Epoch 572/1000 700/700 [==============================] - 0s 539us/step - loss: 1.4580 - acc: 0.4014 - val_loss: 2.0397 - val_acc: 0.2333 Epoch 573/1000 700/700 [==============================] - 0s 464us/step - loss: 1.4573 - acc: 0.4114 - val_loss: 2.0551 - val_acc: 0.2533 Epoch 574/1000 700/700 [==============================] - 0s 521us/step - loss: 1.4597 - acc: 0.4043 - val_loss: 2.0408 - val_acc: 0.2500 Epoch 575/1000 700/700 [==============================] - 0s 480us/step - loss: 1.4597 - acc: 0.4114 - val_loss: 2.0449 - val_acc: 0.2267 Epoch 576/1000 700/700 [==============================] - 0s 492us/step - loss: 1.4586 - acc: 0.3957 - val_loss: 2.0468 - val_acc: 0.2300 Epoch 577/1000 700/700 [==============================] - 0s 490us/step - loss: 1.4583 - acc: 0.4014 - val_loss: 2.0449 - val_acc: 0.2300 Epoch 578/1000 700/700 [==============================] - 0s 474us/step - loss: 1.4577 - acc: 0.4071 - val_loss: 2.0453 - val_acc: 0.2367 Epoch 579/1000 700/700 [==============================] - 0s 520us/step - loss: 1.4584 - acc: 0.4057 - val_loss: 2.0428 - val_acc: 0.2267 Epoch 580/1000 700/700 [==============================] - 0s 502us/step - loss: 1.4574 - acc: 0.4086 - val_loss: 2.0531 - val_acc: 0.2367 Epoch 581/1000 700/700 [==============================] - 0s 504us/step - loss: 1.4570 - acc: 0.4071 - val_loss: 2.0488 - val_acc: 0.2567 Epoch 582/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4569 - acc: 0.4071 - val_loss: 2.0513 - val_acc: 0.2267 Epoch 583/1000 700/700 [==============================] - 0s 493us/step - loss: 1.4563 - acc: 0.4014 - val_loss: 2.0529 - val_acc: 0.2267 Epoch 584/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4571 - acc: 0.4071 - val_loss: 2.0504 - val_acc: 0.2267 Epoch 585/1000 700/700 [==============================] - 0s 507us/step - loss: 1.4558 - acc: 0.4100 - val_loss: 2.0556 - val_acc: 0.2300 Epoch 586/1000 700/700 [==============================] - 0s 514us/step - loss: 1.4549 - acc: 0.4043 - val_loss: 2.0555 - val_acc: 0.2500 Epoch 587/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4573 - acc: 0.4114 - val_loss: 2.0557 - val_acc: 0.2333 Epoch 588/1000 700/700 [==============================] - 0s 497us/step - loss: 1.4560 - acc: 0.4043 - val_loss: 2.0581 - val_acc: 0.2300 Epoch 589/1000 700/700 [==============================] - 0s 504us/step - loss: 1.4553 - acc: 0.4057 - val_loss: 2.0576 - val_acc: 0.2267 Epoch 590/1000 700/700 [==============================] - 0s 483us/step - loss: 1.4553 - acc: 0.4014 - val_loss: 2.0520 - val_acc: 0.2300 Epoch 591/1000 700/700 [==============================] - 0s 513us/step - loss: 1.4554 - acc: 0.4086 - val_loss: 2.0605 - val_acc: 0.2267 Epoch 592/1000 700/700 [==============================] - 0s 500us/step - loss: 1.4544 - acc: 0.4086 - val_loss: 2.0557 - val_acc: 0.2333 Epoch 593/1000 700/700 [==============================] - 0s 502us/step - loss: 1.4546 - acc: 0.4057 - val_loss: 2.0498 - val_acc: 0.2267 Epoch 594/1000 700/700 [==============================] - 0s 527us/step - loss: 1.4540 - acc: 0.4129 - val_loss: 2.0513 - val_acc: 0.2333 Epoch 595/1000 700/700 [==============================] - 0s 477us/step - loss: 1.4543 - acc: 0.4057 - val_loss: 2.0569 - val_acc: 0.2433 Epoch 596/1000 700/700 [==============================] - 0s 469us/step - loss: 1.4537 - acc: 0.4129 - val_loss: 2.0472 - val_acc: 0.2300 Epoch 597/1000 700/700 [==============================] - 0s 483us/step - loss: 1.4525 - acc: 0.4143 - val_loss: 2.0491 - val_acc: 0.2500 Epoch 598/1000 700/700 [==============================] - 0s 482us/step - loss: 1.4537 - acc: 0.3986 - val_loss: 2.0563 - val_acc: 0.2267 Epoch 599/1000 700/700 [==============================] - 0s 503us/step - loss: 1.4541 - acc: 0.4043 - val_loss: 2.0478 - val_acc: 0.2333 Epoch 600/1000 700/700 [==============================] - 0s 496us/step - loss: 1.4525 - acc: 0.4143 - val_loss: 2.0625 - val_acc: 0.2300 Epoch 601/1000 700/700 [==============================] - 0s 456us/step - loss: 1.4523 - acc: 0.4129 - val_loss: 2.0623 - val_acc: 0.2433 Epoch 602/1000 700/700 [==============================] - ETA: 0s - loss: 1.4424 - acc: 0.404 - 0s 477us/step - loss: 1.4526 - acc: 0.4029 - val_loss: 2.0585 - val_acc: 0.2333 Epoch 603/1000 700/700 [==============================] - 0s 463us/step - loss: 1.4527 - acc: 0.4114 - val_loss: 2.0504 - val_acc: 0.2400 Epoch 604/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4525 - acc: 0.4029 - val_loss: 2.0489 - val_acc: 0.2433 Epoch 605/1000 700/700 [==============================] - 0s 493us/step - loss: 1.4516 - acc: 0.4057 - val_loss: 2.0553 - val_acc: 0.2367 Epoch 606/1000 700/700 [==============================] - 0s 489us/step - loss: 1.4517 - acc: 0.4100 - val_loss: 2.0474 - val_acc: 0.2333 Epoch 607/1000 700/700 [==============================] - 0s 503us/step - loss: 1.4518 - acc: 0.4100 - val_loss: 2.0580 - val_acc: 0.2300 Epoch 608/1000 700/700 [==============================] - 0s 476us/step - loss: 1.4515 - acc: 0.4071 - val_loss: 2.0504 - val_acc: 0.2367 Epoch 609/1000 700/700 [==============================] - 0s 493us/step - loss: 1.4500 - acc: 0.4157 - val_loss: 2.0635 - val_acc: 0.2567 Epoch 610/1000 700/700 [==============================] - 0s 487us/step - loss: 1.4507 - acc: 0.4129 - val_loss: 2.0636 - val_acc: 0.2333 Epoch 611/1000 700/700 [==============================] - 0s 510us/step - loss: 1.4508 - acc: 0.4129 - val_loss: 2.0608 - val_acc: 0.2367 Epoch 612/1000 700/700 [==============================] - 0s 496us/step - loss: 1.4506 - acc: 0.4086 - val_loss: 2.0591 - val_acc: 0.2433 Epoch 613/1000 700/700 [==============================] - 0s 480us/step - loss: 1.4505 - acc: 0.4086 - val_loss: 2.0601 - val_acc: 0.2300 Epoch 614/1000 700/700 [==============================] - 0s 473us/step - loss: 1.4496 - acc: 0.4129 - val_loss: 2.0686 - val_acc: 0.2500 Epoch 615/1000 700/700 [==============================] - 0s 484us/step - loss: 1.4502 - acc: 0.4129 - val_loss: 2.0535 - val_acc: 0.2533 Epoch 616/1000 700/700 [==============================] - 0s 497us/step - loss: 1.4495 - acc: 0.4129 - val_loss: 2.0732 - val_acc: 0.2333 Epoch 617/1000 700/700 [==============================] - 0s 510us/step - loss: 1.4480 - acc: 0.4157 - val_loss: 2.0653 - val_acc: 0.2533 Epoch 618/1000 700/700 [==============================] - 0s 527us/step - loss: 1.4491 - acc: 0.4014 - val_loss: 2.0597 - val_acc: 0.2400 Epoch 619/1000 700/700 [==============================] - 0s 511us/step - loss: 1.4479 - acc: 0.4114 - val_loss: 2.0671 - val_acc: 0.2333 Epoch 620/1000 700/700 [==============================] - 0s 490us/step - loss: 1.4488 - acc: 0.4171 - val_loss: 2.0564 - val_acc: 0.2300 Epoch 621/1000 700/700 [==============================] - 0s 511us/step - loss: 1.4487 - acc: 0.4129 - val_loss: 2.0741 - val_acc: 0.2333 Epoch 622/1000 700/700 [==============================] - 0s 490us/step - loss: 1.4476 - acc: 0.4114 - val_loss: 2.0741 - val_acc: 0.2367 Epoch 623/1000 700/700 [==============================] - 0s 487us/step - loss: 1.4471 - acc: 0.4186 - val_loss: 2.0690 - val_acc: 0.2267 Epoch 624/1000 700/700 [==============================] - ETA: 0s - loss: 1.4455 - acc: 0.419 - 0s 496us/step - loss: 1.4480 - acc: 0.4171 - val_loss: 2.0689 - val_acc: 0.2367 Epoch 625/1000 700/700 [==============================] - 0s 473us/step - loss: 1.4479 - acc: 0.4029 - val_loss: 2.0724 - val_acc: 0.2367 Epoch 626/1000 700/700 [==============================] - 0s 480us/step - loss: 1.4471 - acc: 0.4086 - val_loss: 2.0535 - val_acc: 0.2367 Epoch 627/1000 700/700 [==============================] - 0s 489us/step - loss: 1.4478 - acc: 0.4257 - val_loss: 2.0632 - val_acc: 0.2333 Epoch 628/1000 700/700 [==============================] - 0s 502us/step - loss: 1.4459 - acc: 0.4157 - val_loss: 2.0503 - val_acc: 0.2400 Epoch 629/1000 700/700 [==============================] - 0s 482us/step - loss: 1.4475 - acc: 0.4100 - val_loss: 2.0615 - val_acc: 0.2333 Epoch 630/1000 700/700 [==============================] - 0s 510us/step - loss: 1.4460 - acc: 0.4114 - val_loss: 2.0542 - val_acc: 0.2333 Epoch 631/1000 700/700 [==============================] - 0s 490us/step - loss: 1.4468 - acc: 0.4114 - val_loss: 2.0818 - val_acc: 0.2400 Epoch 632/1000 700/700 [==============================] - 0s 507us/step - loss: 1.4467 - acc: 0.4086 - val_loss: 2.0750 - val_acc: 0.2400 Epoch 633/1000 700/700 [==============================] - 0s 488us/step - loss: 1.4455 - acc: 0.4143 - val_loss: 2.0829 - val_acc: 0.2367 Epoch 634/1000 700/700 [==============================] - 0s 494us/step - loss: 1.4457 - acc: 0.4129 - val_loss: 2.0715 - val_acc: 0.2333 Epoch 635/1000 700/700 [==============================] - 0s 500us/step - loss: 1.4444 - acc: 0.4071 - val_loss: 2.0653 - val_acc: 0.2567 Epoch 636/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4463 - acc: 0.4129 - val_loss: 2.0669 - val_acc: 0.2333 Epoch 637/1000 700/700 [==============================] - 0s 504us/step - loss: 1.4451 - acc: 0.4114 - val_loss: 2.0764 - val_acc: 0.2367 Epoch 638/1000 700/700 [==============================] - 0s 500us/step - loss: 1.4452 - acc: 0.4114 - val_loss: 2.0816 - val_acc: 0.2300 Epoch 639/1000 700/700 [==============================] - 0s 473us/step - loss: 1.4449 - acc: 0.4086 - val_loss: 2.0820 - val_acc: 0.2233 Epoch 640/1000 700/700 [==============================] - 0s 507us/step - loss: 1.4441 - acc: 0.4157 - val_loss: 2.0581 - val_acc: 0.2367 Epoch 641/1000 700/700 [==============================] - 0s 511us/step - loss: 1.4437 - acc: 0.4143 - val_loss: 2.0742 - val_acc: 0.2467 Epoch 642/1000 700/700 [==============================] - 0s 493us/step - loss: 1.4448 - acc: 0.4100 - val_loss: 2.0819 - val_acc: 0.2433 Epoch 643/1000 700/700 [==============================] - 0s 506us/step - loss: 1.4439 - acc: 0.4129 - val_loss: 2.0856 - val_acc: 0.2300 Epoch 644/1000 700/700 [==============================] - 0s 503us/step - loss: 1.4440 - acc: 0.4129 - val_loss: 2.0722 - val_acc: 0.2367 Epoch 645/1000 700/700 [==============================] - 0s 500us/step - loss: 1.4432 - acc: 0.4186 - val_loss: 2.0797 - val_acc: 0.2333 Epoch 646/1000 700/700 [==============================] - 0s 482us/step - loss: 1.4414 - acc: 0.4114 - val_loss: 2.0734 - val_acc: 0.2567 Epoch 647/1000 700/700 [==============================] - 0s 516us/step - loss: 1.4423 - acc: 0.4114 - val_loss: 2.0704 - val_acc: 0.2367 Epoch 648/1000 700/700 [==============================] - 0s 517us/step - loss: 1.4431 - acc: 0.4100 - val_loss: 2.0860 - val_acc: 0.2333 Epoch 649/1000 700/700 [==============================] - 0s 511us/step - loss: 1.4415 - acc: 0.4057 - val_loss: 2.0823 - val_acc: 0.2333 Epoch 650/1000 700/700 [==============================] - 0s 520us/step - loss: 1.4432 - acc: 0.4143 - val_loss: 2.0725 - val_acc: 0.2333 Epoch 651/1000 700/700 [==============================] - 0s 477us/step - loss: 1.4418 - acc: 0.4157 - val_loss: 2.0891 - val_acc: 0.2400 Epoch 652/1000 700/700 [==============================] - 0s 484us/step - loss: 1.4430 - acc: 0.4114 - val_loss: 2.0737 - val_acc: 0.2333 Epoch 653/1000 700/700 [==============================] - 0s 504us/step - loss: 1.4415 - acc: 0.4171 - val_loss: 2.0781 - val_acc: 0.2433 Epoch 654/1000 700/700 [==============================] - 0s 479us/step - loss: 1.4414 - acc: 0.4143 - val_loss: 2.0641 - val_acc: 0.2467 Epoch 655/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4406 - acc: 0.4100 - val_loss: 2.0746 - val_acc: 0.2533 Epoch 656/1000 700/700 [==============================] - 0s 513us/step - loss: 1.4426 - acc: 0.4086 - val_loss: 2.0850 - val_acc: 0.2433 Epoch 657/1000 700/700 [==============================] - 0s 503us/step - loss: 1.4409 - acc: 0.4186 - val_loss: 2.0809 - val_acc: 0.2300 Epoch 658/1000 700/700 [==============================] - 0s 486us/step - loss: 1.4409 - acc: 0.4143 - val_loss: 2.0781 - val_acc: 0.2367 Epoch 659/1000 700/700 [==============================] - 0s 516us/step - loss: 1.4404 - acc: 0.4186 - val_loss: 2.0800 - val_acc: 0.2467 Epoch 660/1000 700/700 [==============================] - 0s 504us/step - loss: 1.4409 - acc: 0.4100 - val_loss: 2.0796 - val_acc: 0.2367 Epoch 661/1000 700/700 [==============================] - 0s 529us/step - loss: 1.4418 - acc: 0.4086 - val_loss: 2.0753 - val_acc: 0.2367 Epoch 662/1000 700/700 [==============================] - 0s 483us/step - loss: 1.4410 - acc: 0.4000 - val_loss: 2.0794 - val_acc: 0.2367 Epoch 663/1000 700/700 [==============================] - 0s 483us/step - loss: 1.4402 - acc: 0.4157 - val_loss: 2.0953 - val_acc: 0.2400 Epoch 664/1000 700/700 [==============================] - 0s 511us/step - loss: 1.4394 - acc: 0.4186 - val_loss: 2.0829 - val_acc: 0.2400 Epoch 665/1000 700/700 [==============================] - 0s 516us/step - loss: 1.4396 - acc: 0.4114 - val_loss: 2.0887 - val_acc: 0.2333 Epoch 666/1000 700/700 [==============================] - 0s 482us/step - loss: 1.4390 - acc: 0.4200 - val_loss: 2.0808 - val_acc: 0.2533 Epoch 667/1000 700/700 [==============================] - 0s 506us/step - loss: 1.4406 - acc: 0.4114 - val_loss: 2.0751 - val_acc: 0.2367 Epoch 668/1000 700/700 [==============================] - 0s 486us/step - loss: 1.4375 - acc: 0.4157 - val_loss: 2.0902 - val_acc: 0.2567 Epoch 669/1000 700/700 [==============================] - 0s 463us/step - loss: 1.4382 - acc: 0.4157 - val_loss: 2.0931 - val_acc: 0.2333 Epoch 670/1000 700/700 [==============================] - 0s 521us/step - loss: 1.4393 - acc: 0.4171 - val_loss: 2.0815 - val_acc: 0.2333 Epoch 671/1000 700/700 [==============================] - 0s 506us/step - loss: 1.4377 - acc: 0.4157 - val_loss: 2.0801 - val_acc: 0.2533 Epoch 672/1000 700/700 [==============================] - 0s 496us/step - loss: 1.4382 - acc: 0.4100 - val_loss: 2.0893 - val_acc: 0.2367 Epoch 673/1000 700/700 [==============================] - 0s 496us/step - loss: 1.4384 - acc: 0.4186 - val_loss: 2.0821 - val_acc: 0.2400 Epoch 674/1000 700/700 [==============================] - 0s 483us/step - loss: 1.4374 - acc: 0.4086 - val_loss: 2.1027 - val_acc: 0.2433 Epoch 675/1000 700/700 [==============================] - 0s 497us/step - loss: 1.4366 - acc: 0.4214 - val_loss: 2.1019 - val_acc: 0.2533 Epoch 676/1000 700/700 [==============================] - 0s 496us/step - loss: 1.4370 - acc: 0.4186 - val_loss: 2.0800 - val_acc: 0.2567 Epoch 677/1000 700/700 [==============================] - 0s 500us/step - loss: 1.4360 - acc: 0.4143 - val_loss: 2.0972 - val_acc: 0.2300 Epoch 678/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4355 - acc: 0.4200 - val_loss: 2.0724 - val_acc: 0.2333 Epoch 679/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4369 - acc: 0.4257 - val_loss: 2.0890 - val_acc: 0.2367 Epoch 680/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4377 - acc: 0.4157 - val_loss: 2.0891 - val_acc: 0.2400 Epoch 681/1000 700/700 [==============================] - 0s 521us/step - loss: 1.4370 - acc: 0.4186 - val_loss: 2.0805 - val_acc: 0.2400 Epoch 682/1000 700/700 [==============================] - 0s 467us/step - loss: 1.4360 - acc: 0.4214 - val_loss: 2.0854 - val_acc: 0.2567 Epoch 683/1000 700/700 [==============================] - 0s 464us/step - loss: 1.4356 - acc: 0.4129 - val_loss: 2.0779 - val_acc: 0.2500 Epoch 684/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4330 - acc: 0.4143 - val_loss: 2.0887 - val_acc: 0.2600 Epoch 685/1000 700/700 [==============================] - 0s 526us/step - loss: 1.4356 - acc: 0.4143 - val_loss: 2.0846 - val_acc: 0.2567 Epoch 686/1000 700/700 [==============================] - 0s 494us/step - loss: 1.4352 - acc: 0.4200 - val_loss: 2.1067 - val_acc: 0.2533 Epoch 687/1000 700/700 [==============================] - 0s 492us/step - loss: 1.4354 - acc: 0.4143 - val_loss: 2.0772 - val_acc: 0.2367 Epoch 688/1000 700/700 [==============================] - 0s 502us/step - loss: 1.4355 - acc: 0.4157 - val_loss: 2.0829 - val_acc: 0.2400 Epoch 689/1000 700/700 [==============================] - 0s 489us/step - loss: 1.4348 - acc: 0.4200 - val_loss: 2.0925 - val_acc: 0.2367 Epoch 690/1000 700/700 [==============================] - 0s 511us/step - loss: 1.4345 - acc: 0.4143 - val_loss: 2.0995 - val_acc: 0.2333 Epoch 691/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4337 - acc: 0.4229 - val_loss: 2.0944 - val_acc: 0.2333 Epoch 692/1000 700/700 [==============================] - 0s 482us/step - loss: 1.4339 - acc: 0.4186 - val_loss: 2.0823 - val_acc: 0.2400 Epoch 693/1000 700/700 [==============================] - 0s 494us/step - loss: 1.4345 - acc: 0.4171 - val_loss: 2.0821 - val_acc: 0.2400 Epoch 694/1000 700/700 [==============================] - 0s 497us/step - loss: 1.4335 - acc: 0.4186 - val_loss: 2.1067 - val_acc: 0.2467 Epoch 695/1000 700/700 [==============================] - 0s 504us/step - loss: 1.4348 - acc: 0.4171 - val_loss: 2.0871 - val_acc: 0.2567 Epoch 696/1000 700/700 [==============================] - ETA: 0s - loss: 1.4376 - acc: 0.433 - 0s 487us/step - loss: 1.4324 - acc: 0.4214 - val_loss: 2.0991 - val_acc: 0.2333 Epoch 697/1000 700/700 [==============================] - 0s 500us/step - loss: 1.4337 - acc: 0.4186 - val_loss: 2.1061 - val_acc: 0.2467 Epoch 698/1000 700/700 [==============================] - 0s 524us/step - loss: 1.4333 - acc: 0.4257 - val_loss: 2.0948 - val_acc: 0.2433 Epoch 699/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4328 - acc: 0.4214 - val_loss: 2.0957 - val_acc: 0.2400 Epoch 700/1000 700/700 [==============================] - 0s 480us/step - loss: 1.4329 - acc: 0.4200 - val_loss: 2.0952 - val_acc: 0.2467 Epoch 701/1000 700/700 [==============================] - 0s 510us/step - loss: 1.4316 - acc: 0.4171 - val_loss: 2.0921 - val_acc: 0.2433 Epoch 702/1000 700/700 [==============================] - 0s 504us/step - loss: 1.4327 - acc: 0.4129 - val_loss: 2.0981 - val_acc: 0.2367 Epoch 703/1000 700/700 [==============================] - 0s 492us/step - loss: 1.4316 - acc: 0.4229 - val_loss: 2.1061 - val_acc: 0.2333 Epoch 704/1000 700/700 [==============================] - 0s 513us/step - loss: 1.4325 - acc: 0.4214 - val_loss: 2.0935 - val_acc: 0.2433 Epoch 705/1000 700/700 [==============================] - 0s 523us/step - loss: 1.4320 - acc: 0.4157 - val_loss: 2.0879 - val_acc: 0.2400 Epoch 706/1000 700/700 [==============================] - 0s 520us/step - loss: 1.4321 - acc: 0.4214 - val_loss: 2.0806 - val_acc: 0.2400 Epoch 707/1000 700/700 [==============================] - 0s 500us/step - loss: 1.4315 - acc: 0.4243 - val_loss: 2.0931 - val_acc: 0.2367 Epoch 708/1000 700/700 [==============================] - 0s 504us/step - loss: 1.4316 - acc: 0.4214 - val_loss: 2.0923 - val_acc: 0.2333 Epoch 709/1000 700/700 [==============================] - 0s 567us/step - loss: 1.4296 - acc: 0.4186 - val_loss: 2.1160 - val_acc: 0.2533 Epoch 710/1000 700/700 [==============================] - 0s 549us/step - loss: 1.4314 - acc: 0.4229 - val_loss: 2.0957 - val_acc: 0.2467 Epoch 711/1000 700/700 [==============================] - 0s 576us/step - loss: 1.4304 - acc: 0.4186 - val_loss: 2.0964 - val_acc: 0.2367 Epoch 712/1000 700/700 [==============================] - 0s 576us/step - loss: 1.4300 - acc: 0.4214 - val_loss: 2.1035 - val_acc: 0.2567 Epoch 713/1000 700/700 [==============================] - 0s 583us/step - loss: 1.4310 - acc: 0.4186 - val_loss: 2.0861 - val_acc: 0.2400 Epoch 714/1000 700/700 [==============================] - 0s 587us/step - loss: 1.4305 - acc: 0.4243 - val_loss: 2.0996 - val_acc: 0.2367 Epoch 715/1000 700/700 [==============================] - 0s 540us/step - loss: 1.4282 - acc: 0.4243 - val_loss: 2.0936 - val_acc: 0.2600 Epoch 716/1000 700/700 [==============================] - 0s 539us/step - loss: 1.4305 - acc: 0.4157 - val_loss: 2.1060 - val_acc: 0.2367 Epoch 717/1000 700/700 [==============================] - 0s 517us/step - loss: 1.4297 - acc: 0.4157 - val_loss: 2.1014 - val_acc: 0.2367 Epoch 718/1000 700/700 [==============================] - 0s 534us/step - loss: 1.4289 - acc: 0.4186 - val_loss: 2.1246 - val_acc: 0.2533 Epoch 719/1000 700/700 [==============================] - 0s 484us/step - loss: 1.4303 - acc: 0.4186 - val_loss: 2.1100 - val_acc: 0.2400 Epoch 720/1000 700/700 [==============================] - 0s 521us/step - loss: 1.4295 - acc: 0.4214 - val_loss: 2.1052 - val_acc: 0.2367 Epoch 721/1000 700/700 [==============================] - 0s 527us/step - loss: 1.4291 - acc: 0.4200 - val_loss: 2.1038 - val_acc: 0.2433 Epoch 722/1000 700/700 [==============================] - 0s 474us/step - loss: 1.4286 - acc: 0.4200 - val_loss: 2.1045 - val_acc: 0.2367 Epoch 723/1000 700/700 [==============================] - 0s 507us/step - loss: 1.4282 - acc: 0.4214 - val_loss: 2.0911 - val_acc: 0.2400 Epoch 724/1000 700/700 [==============================] - 0s 517us/step - loss: 1.4281 - acc: 0.4257 - val_loss: 2.1101 - val_acc: 0.2367 Epoch 725/1000 700/700 [==============================] - 0s 506us/step - loss: 1.4277 - acc: 0.4229 - val_loss: 2.1167 - val_acc: 0.2433 Epoch 726/1000 700/700 [==============================] - 0s 524us/step - loss: 1.4278 - acc: 0.4257 - val_loss: 2.0962 - val_acc: 0.2367 Epoch 727/1000 700/700 [==============================] - 0s 571us/step - loss: 1.4273 - acc: 0.4214 - val_loss: 2.1264 - val_acc: 0.2333 Epoch 728/1000 700/700 [==============================] - 0s 480us/step - loss: 1.4276 - acc: 0.4200 - val_loss: 2.0961 - val_acc: 0.2400 Epoch 729/1000 700/700 [==============================] - 0s 513us/step - loss: 1.4269 - acc: 0.4229 - val_loss: 2.1197 - val_acc: 0.2467 Epoch 730/1000 700/700 [==============================] - 0s 486us/step - loss: 1.4269 - acc: 0.4257 - val_loss: 2.1247 - val_acc: 0.2400 Epoch 731/1000 700/700 [==============================] - 0s 519us/step - loss: 1.4277 - acc: 0.4143 - val_loss: 2.1096 - val_acc: 0.2367 Epoch 732/1000 700/700 [==============================] - 0s 492us/step - loss: 1.4261 - acc: 0.4243 - val_loss: 2.1076 - val_acc: 0.2400 Epoch 733/1000 700/700 [==============================] - 0s 506us/step - loss: 1.4263 - acc: 0.4286 - val_loss: 2.1008 - val_acc: 0.2400 Epoch 734/1000 700/700 [==============================] - 0s 533us/step - loss: 1.4271 - acc: 0.4214 - val_loss: 2.1178 - val_acc: 0.2400 Epoch 735/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4261 - acc: 0.4286 - val_loss: 2.1092 - val_acc: 0.2367 Epoch 736/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4249 - acc: 0.4300 - val_loss: 2.1022 - val_acc: 0.2400 Epoch 737/1000 700/700 [==============================] - 0s 502us/step - loss: 1.4265 - acc: 0.4229 - val_loss: 2.1194 - val_acc: 0.2433 Epoch 738/1000 700/700 [==============================] - 0s 494us/step - loss: 1.4265 - acc: 0.4200 - val_loss: 2.1078 - val_acc: 0.2467 Epoch 739/1000 700/700 [==============================] - 0s 486us/step - loss: 1.4251 - acc: 0.4271 - val_loss: 2.1167 - val_acc: 0.2367 Epoch 740/1000 700/700 [==============================] - 0s 529us/step - loss: 1.4250 - acc: 0.4314 - val_loss: 2.1048 - val_acc: 0.2400 Epoch 741/1000 700/700 [==============================] - 0s 584us/step - loss: 1.4249 - acc: 0.4200 - val_loss: 2.1189 - val_acc: 0.2567 Epoch 742/1000 700/700 [==============================] - 0s 494us/step - loss: 1.4252 - acc: 0.4143 - val_loss: 2.1010 - val_acc: 0.2533 Epoch 743/1000 700/700 [==============================] - 0s 493us/step - loss: 1.4240 - acc: 0.4286 - val_loss: 2.1042 - val_acc: 0.2533 Epoch 744/1000 700/700 [==============================] - 0s 487us/step - loss: 1.4257 - acc: 0.4186 - val_loss: 2.1045 - val_acc: 0.2433 Epoch 745/1000 700/700 [==============================] - 0s 520us/step - loss: 1.4221 - acc: 0.4329 - val_loss: 2.1158 - val_acc: 0.2533 Epoch 746/1000 700/700 [==============================] - 0s 514us/step - loss: 1.4254 - acc: 0.4300 - val_loss: 2.1062 - val_acc: 0.2400 Epoch 747/1000 700/700 [==============================] - 0s 489us/step - loss: 1.4251 - acc: 0.4157 - val_loss: 2.1123 - val_acc: 0.2433 Epoch 748/1000 700/700 [==============================] - 0s 511us/step - loss: 1.4233 - acc: 0.4257 - val_loss: 2.1289 - val_acc: 0.2600 Epoch 749/1000 700/700 [==============================] - 0s 484us/step - loss: 1.4222 - acc: 0.4271 - val_loss: 2.0960 - val_acc: 0.2333 Epoch 750/1000 700/700 [==============================] - 0s 493us/step - loss: 1.4239 - acc: 0.4329 - val_loss: 2.1004 - val_acc: 0.2300 Epoch 751/1000 700/700 [==============================] - 0s 588us/step - loss: 1.4224 - acc: 0.4171 - val_loss: 2.1130 - val_acc: 0.2400 Epoch 752/1000 700/700 [==============================] - 0s 529us/step - loss: 1.4233 - acc: 0.4243 - val_loss: 2.1173 - val_acc: 0.2367 Epoch 753/1000 700/700 [==============================] - 0s 504us/step - loss: 1.4223 - acc: 0.4257 - val_loss: 2.1337 - val_acc: 0.2333 Epoch 754/1000 700/700 [==============================] - 0s 514us/step - loss: 1.4235 - acc: 0.4271 - val_loss: 2.1186 - val_acc: 0.2333 Epoch 755/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4221 - acc: 0.4386 - val_loss: 2.1169 - val_acc: 0.2467 Epoch 756/1000 700/700 [==============================] - 0s 512us/step - loss: 1.4223 - acc: 0.4143 - val_loss: 2.1151 - val_acc: 0.2400 Epoch 757/1000 700/700 [==============================] - 0s 549us/step - loss: 1.4233 - acc: 0.4200 - val_loss: 2.1210 - val_acc: 0.2433 Epoch 758/1000 700/700 [==============================] - 0s 510us/step - loss: 1.4220 - acc: 0.4300 - val_loss: 2.1190 - val_acc: 0.2433 Epoch 759/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4221 - acc: 0.4271 - val_loss: 2.1112 - val_acc: 0.2400 Epoch 760/1000 700/700 [==============================] - 0s 514us/step - loss: 1.4218 - acc: 0.4329 - val_loss: 2.1117 - val_acc: 0.2400 Epoch 761/1000 700/700 [==============================] - 0s 586us/step - loss: 1.4215 - acc: 0.4229 - val_loss: 2.1349 - val_acc: 0.2500 Epoch 762/1000 700/700 [==============================] - 0s 516us/step - loss: 1.4225 - acc: 0.4257 - val_loss: 2.1261 - val_acc: 0.2400 Epoch 763/1000 700/700 [==============================] - 0s 678us/step - loss: 1.4215 - acc: 0.4200 - val_loss: 2.1152 - val_acc: 0.2400 Epoch 764/1000 700/700 [==============================] - 0s 514us/step - loss: 1.4227 - acc: 0.4300 - val_loss: 2.1314 - val_acc: 0.2433 Epoch 765/1000 700/700 [==============================] - 0s 492us/step - loss: 1.4203 - acc: 0.4214 - val_loss: 2.1405 - val_acc: 0.2333 Epoch 766/1000 700/700 [==============================] - 0s 450us/step - loss: 1.4217 - acc: 0.4214 - val_loss: 2.1154 - val_acc: 0.2400 Epoch 767/1000 700/700 [==============================] - 0s 553us/step - loss: 1.4217 - acc: 0.4257 - val_loss: 2.1160 - val_acc: 0.2367 Epoch 768/1000 700/700 [==============================] - 0s 529us/step - loss: 1.4205 - acc: 0.4257 - val_loss: 2.1068 - val_acc: 0.2400 Epoch 769/1000 700/700 [==============================] - 0s 511us/step - loss: 1.4207 - acc: 0.4243 - val_loss: 2.1165 - val_acc: 0.2367 Epoch 770/1000 700/700 [==============================] - 0s 483us/step - loss: 1.4200 - acc: 0.4214 - val_loss: 2.1088 - val_acc: 0.2333 Epoch 771/1000 700/700 [==============================] - 0s 527us/step - loss: 1.4196 - acc: 0.4214 - val_loss: 2.1229 - val_acc: 0.2367 Epoch 772/1000 700/700 [==============================] - 0s 504us/step - loss: 1.4202 - acc: 0.4229 - val_loss: 2.1255 - val_acc: 0.2433 Epoch 773/1000 700/700 [==============================] - 0s 514us/step - loss: 1.4200 - acc: 0.4229 - val_loss: 2.1326 - val_acc: 0.2500 Epoch 774/1000 700/700 [==============================] - 0s 493us/step - loss: 1.4191 - acc: 0.4243 - val_loss: 2.1295 - val_acc: 0.2400 Epoch 775/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4182 - acc: 0.4286 - val_loss: 2.1295 - val_acc: 0.2533 Epoch 776/1000 700/700 [==============================] - 0s 510us/step - loss: 1.4193 - acc: 0.4271 - val_loss: 2.1251 - val_acc: 0.2467 Epoch 777/1000 700/700 [==============================] - 0s 487us/step - loss: 1.4177 - acc: 0.4314 - val_loss: 2.1345 - val_acc: 0.2333 Epoch 778/1000 700/700 [==============================] - 0s 516us/step - loss: 1.4190 - acc: 0.4214 - val_loss: 2.1203 - val_acc: 0.2333 Epoch 779/1000 700/700 [==============================] - 0s 520us/step - loss: 1.4191 - acc: 0.4300 - val_loss: 2.1231 - val_acc: 0.2333 Epoch 780/1000 700/700 [==============================] - 0s 507us/step - loss: 1.4190 - acc: 0.4229 - val_loss: 2.1167 - val_acc: 0.2400 Epoch 781/1000 700/700 [==============================] - 0s 510us/step - loss: 1.4196 - acc: 0.4214 - val_loss: 2.1239 - val_acc: 0.2467 Epoch 782/1000 700/700 [==============================] - 0s 537us/step - loss: 1.4184 - acc: 0.4257 - val_loss: 2.1057 - val_acc: 0.2400 Epoch 783/1000 700/700 [==============================] - 0s 520us/step - loss: 1.4186 - acc: 0.4329 - val_loss: 2.1295 - val_acc: 0.2433 Epoch 784/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4181 - acc: 0.4300 - val_loss: 2.1362 - val_acc: 0.2400 Epoch 785/1000 700/700 [==============================] - 0s 533us/step - loss: 1.4179 - acc: 0.4271 - val_loss: 2.1419 - val_acc: 0.2367 Epoch 786/1000 700/700 [==============================] - 0s 492us/step - loss: 1.4180 - acc: 0.4271 - val_loss: 2.1251 - val_acc: 0.2467 Epoch 787/1000 700/700 [==============================] - 0s 517us/step - loss: 1.4184 - acc: 0.4243 - val_loss: 2.1135 - val_acc: 0.2500 Epoch 788/1000 700/700 [==============================] - 0s 519us/step - loss: 1.4178 - acc: 0.4271 - val_loss: 2.1248 - val_acc: 0.2400 Epoch 789/1000 700/700 [==============================] - 0s 507us/step - loss: 1.4173 - acc: 0.4229 - val_loss: 2.1256 - val_acc: 0.2400 Epoch 790/1000 700/700 [==============================] - 0s 500us/step - loss: 1.4174 - acc: 0.4314 - val_loss: 2.1284 - val_acc: 0.2400 Epoch 791/1000 700/700 [==============================] - 0s 480us/step - loss: 1.4164 - acc: 0.4286 - val_loss: 2.1302 - val_acc: 0.2500 Epoch 792/1000 700/700 [==============================] - 0s 500us/step - loss: 1.4171 - acc: 0.4229 - val_loss: 2.1204 - val_acc: 0.2367 Epoch 793/1000 700/700 [==============================] - 0s 523us/step - loss: 1.4166 - acc: 0.4257 - val_loss: 2.1365 - val_acc: 0.2500 Epoch 794/1000 700/700 [==============================] - 0s 527us/step - loss: 1.4169 - acc: 0.4271 - val_loss: 2.1308 - val_acc: 0.2367 Epoch 795/1000 700/700 [==============================] - 0s 503us/step - loss: 1.4164 - acc: 0.4314 - val_loss: 2.1278 - val_acc: 0.2400 Epoch 796/1000 700/700 [==============================] - 0s 482us/step - loss: 1.4160 - acc: 0.4300 - val_loss: 2.1290 - val_acc: 0.2367 Epoch 797/1000 700/700 [==============================] - 0s 512us/step - loss: 1.4164 - acc: 0.4200 - val_loss: 2.1355 - val_acc: 0.2367 Epoch 798/1000 700/700 [==============================] - 0s 504us/step - loss: 1.4162 - acc: 0.4386 - val_loss: 2.1362 - val_acc: 0.2400 Epoch 799/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4152 - acc: 0.4329 - val_loss: 2.1291 - val_acc: 0.2567 Epoch 800/1000 700/700 [==============================] - 0s 556us/step - loss: 1.4159 - acc: 0.4200 - val_loss: 2.1378 - val_acc: 0.2333 Epoch 801/1000 700/700 [==============================] - 0s 529us/step - loss: 1.4159 - acc: 0.4329 - val_loss: 2.1350 - val_acc: 0.2333 Epoch 802/1000 700/700 [==============================] - 0s 510us/step - loss: 1.4158 - acc: 0.4329 - val_loss: 2.1718 - val_acc: 0.2400 Epoch 803/1000 700/700 [==============================] - 0s 494us/step - loss: 1.4146 - acc: 0.4271 - val_loss: 2.1338 - val_acc: 0.2600 Epoch 804/1000 700/700 [==============================] - 0s 524us/step - loss: 1.4148 - acc: 0.4243 - val_loss: 2.1272 - val_acc: 0.2433 Epoch 805/1000 700/700 [==============================] - 0s 561us/step - loss: 1.4143 - acc: 0.4329 - val_loss: 2.1285 - val_acc: 0.2467 Epoch 806/1000 700/700 [==============================] - 0s 506us/step - loss: 1.4148 - acc: 0.4357 - val_loss: 2.1285 - val_acc: 0.2400 Epoch 807/1000 700/700 [==============================] - 0s 511us/step - loss: 1.4148 - acc: 0.4386 - val_loss: 2.1343 - val_acc: 0.2500 Epoch 808/1000 700/700 [==============================] - 0s 521us/step - loss: 1.4143 - acc: 0.4314 - val_loss: 2.1340 - val_acc: 0.2400 Epoch 809/1000 700/700 [==============================] - 0s 497us/step - loss: 1.4150 - acc: 0.4229 - val_loss: 2.1349 - val_acc: 0.2467 Epoch 810/1000 700/700 [==============================] - 0s 527us/step - loss: 1.4139 - acc: 0.4357 - val_loss: 2.1360 - val_acc: 0.2367 Epoch 811/1000 700/700 [==============================] - 0s 483us/step - loss: 1.4142 - acc: 0.4314 - val_loss: 2.1368 - val_acc: 0.2400 Epoch 812/1000 700/700 [==============================] - 0s 549us/step - loss: 1.4141 - acc: 0.4271 - val_loss: 2.1261 - val_acc: 0.2400 Epoch 813/1000 700/700 [==============================] - 0s 550us/step - loss: 1.4139 - acc: 0.4329 - val_loss: 2.1430 - val_acc: 0.2400 Epoch 814/1000 700/700 [==============================] - 0s 517us/step - loss: 1.4131 - acc: 0.4286 - val_loss: 2.1356 - val_acc: 0.2533 Epoch 815/1000 700/700 [==============================] - 0s 553us/step - loss: 1.4139 - acc: 0.4314 - val_loss: 2.1410 - val_acc: 0.2467 Epoch 816/1000 700/700 [==============================] - 0s 513us/step - loss: 1.4136 - acc: 0.4300 - val_loss: 2.1348 - val_acc: 0.2367 Epoch 817/1000 700/700 [==============================] - 0s 577us/step - loss: 1.4116 - acc: 0.4300 - val_loss: 2.1359 - val_acc: 0.2367 Epoch 818/1000 700/700 [==============================] - 0s 487us/step - loss: 1.4123 - acc: 0.4286 - val_loss: 2.1431 - val_acc: 0.2367 Epoch 819/1000 700/700 [==============================] - 0s 504us/step - loss: 1.4110 - acc: 0.4357 - val_loss: 2.1535 - val_acc: 0.2600 Epoch 820/1000 700/700 [==============================] - 0s 583us/step - loss: 1.4131 - acc: 0.4329 - val_loss: 2.1379 - val_acc: 0.2567 Epoch 821/1000 700/700 [==============================] - 0s 490us/step - loss: 1.4129 - acc: 0.4300 - val_loss: 2.1497 - val_acc: 0.2467 Epoch 822/1000 700/700 [==============================] - 0s 489us/step - loss: 1.4130 - acc: 0.4329 - val_loss: 2.1381 - val_acc: 0.2367 Epoch 823/1000 700/700 [==============================] - 0s 510us/step - loss: 1.4114 - acc: 0.4271 - val_loss: 2.1430 - val_acc: 0.2433 Epoch 824/1000 700/700 [==============================] - 0s 519us/step - loss: 1.4110 - acc: 0.4300 - val_loss: 2.1438 - val_acc: 0.2433 Epoch 825/1000 700/700 [==============================] - 0s 513us/step - loss: 1.4112 - acc: 0.4314 - val_loss: 2.1583 - val_acc: 0.2467 Epoch 826/1000 700/700 [==============================] - 0s 523us/step - loss: 1.4122 - acc: 0.4271 - val_loss: 2.1483 - val_acc: 0.2467 Epoch 827/1000 700/700 [==============================] - 0s 503us/step - loss: 1.4112 - acc: 0.4300 - val_loss: 2.1481 - val_acc: 0.2400 Epoch 828/1000 700/700 [==============================] - 0s 502us/step - loss: 1.4118 - acc: 0.4343 - val_loss: 2.1369 - val_acc: 0.2367 Epoch 829/1000 700/700 [==============================] - 0s 474us/step - loss: 1.4111 - acc: 0.4314 - val_loss: 2.1411 - val_acc: 0.2433 Epoch 830/1000 700/700 [==============================] - 0s 513us/step - loss: 1.4104 - acc: 0.4271 - val_loss: 2.1457 - val_acc: 0.2400 Epoch 831/1000 700/700 [==============================] - 0s 511us/step - loss: 1.4105 - acc: 0.4443 - val_loss: 2.1591 - val_acc: 0.2467 Epoch 832/1000 700/700 [==============================] - 0s 625us/step - loss: 1.4111 - acc: 0.4343 - val_loss: 2.1598 - val_acc: 0.2500 Epoch 833/1000 700/700 [==============================] - 0s 557us/step - loss: 1.4110 - acc: 0.4243 - val_loss: 2.1645 - val_acc: 0.2467 Epoch 834/1000 700/700 [==============================] - 0s 483us/step - loss: 1.4106 - acc: 0.4329 - val_loss: 2.1743 - val_acc: 0.2433 Epoch 835/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4095 - acc: 0.4300 - val_loss: 2.1435 - val_acc: 0.2367 Epoch 836/1000 700/700 [==============================] - 0s 550us/step - loss: 1.4098 - acc: 0.4271 - val_loss: 2.1518 - val_acc: 0.2500 Epoch 837/1000 700/700 [==============================] - 0s 497us/step - loss: 1.4102 - acc: 0.4300 - val_loss: 2.1380 - val_acc: 0.2433 Epoch 838/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4107 - acc: 0.4329 - val_loss: 2.1500 - val_acc: 0.2367 Epoch 839/1000 700/700 [==============================] - 0s 553us/step - loss: 1.4088 - acc: 0.4300 - val_loss: 2.1492 - val_acc: 0.2367 Epoch 840/1000 700/700 [==============================] - 0s 547us/step - loss: 1.4081 - acc: 0.4343 - val_loss: 2.1386 - val_acc: 0.2433 Epoch 841/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4092 - acc: 0.4371 - val_loss: 2.1470 - val_acc: 0.2367 Epoch 842/1000 700/700 [==============================] - 0s 537us/step - loss: 1.4098 - acc: 0.4271 - val_loss: 2.1594 - val_acc: 0.2500 Epoch 843/1000 700/700 [==============================] - 0s 641us/step - loss: 1.4090 - acc: 0.4314 - val_loss: 2.1468 - val_acc: 0.2367 Epoch 844/1000 700/700 [==============================] - 0s 546us/step - loss: 1.4082 - acc: 0.4300 - val_loss: 2.1617 - val_acc: 0.2367 Epoch 845/1000 700/700 [==============================] - 0s 581us/step - loss: 1.4088 - acc: 0.4314 - val_loss: 2.1402 - val_acc: 0.2367 Epoch 846/1000 700/700 [==============================] - 0s 494us/step - loss: 1.4092 - acc: 0.4357 - val_loss: 2.1484 - val_acc: 0.2400 Epoch 847/1000 700/700 [==============================] - 0s 480us/step - loss: 1.4075 - acc: 0.4229 - val_loss: 2.1584 - val_acc: 0.2433 Epoch 848/1000 700/700 [==============================] - 0s 494us/step - loss: 1.4079 - acc: 0.4371 - val_loss: 2.1529 - val_acc: 0.2533 Epoch 849/1000 700/700 [==============================] - 0s 493us/step - loss: 1.4086 - acc: 0.4300 - val_loss: 2.1555 - val_acc: 0.2433 Epoch 850/1000 700/700 [==============================] - 0s 533us/step - loss: 1.4071 - acc: 0.4314 - val_loss: 2.1484 - val_acc: 0.2367 Epoch 851/1000 700/700 [==============================] - 0s 507us/step - loss: 1.4071 - acc: 0.4229 - val_loss: 2.1482 - val_acc: 0.2333 Epoch 852/1000 700/700 [==============================] - 0s 517us/step - loss: 1.4086 - acc: 0.4371 - val_loss: 2.1509 - val_acc: 0.2433 Epoch 853/1000 700/700 [==============================] - 0s 499us/step - loss: 1.4066 - acc: 0.4329 - val_loss: 2.1501 - val_acc: 0.2367 Epoch 854/1000 700/700 [==============================] - 0s 489us/step - loss: 1.4046 - acc: 0.4371 - val_loss: 2.1745 - val_acc: 0.2600 Epoch 855/1000 700/700 [==============================] - 0s 530us/step - loss: 1.4074 - acc: 0.4271 - val_loss: 2.1510 - val_acc: 0.2333 Epoch 856/1000 700/700 [==============================] - 0s 503us/step - loss: 1.4074 - acc: 0.4357 - val_loss: 2.1598 - val_acc: 0.2500 Epoch 857/1000 700/700 [==============================] - 0s 607us/step - loss: 1.4067 - acc: 0.4286 - val_loss: 2.1580 - val_acc: 0.2467 Epoch 858/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4066 - acc: 0.4343 - val_loss: 2.1567 - val_acc: 0.2367 Epoch 859/1000 700/700 [==============================] - 0s 527us/step - loss: 1.4052 - acc: 0.4357 - val_loss: 2.1554 - val_acc: 0.2367 Epoch 860/1000 700/700 [==============================] - 0s 594us/step - loss: 1.4057 - acc: 0.4357 - val_loss: 2.1783 - val_acc: 0.2533 Epoch 861/1000 700/700 [==============================] - 0s 584us/step - loss: 1.4064 - acc: 0.4343 - val_loss: 2.1655 - val_acc: 0.2433 Epoch 862/1000 700/700 [==============================] - 0s 554us/step - loss: 1.4071 - acc: 0.4271 - val_loss: 2.1672 - val_acc: 0.2533 Epoch 863/1000 700/700 [==============================] - 0s 479us/step - loss: 1.4055 - acc: 0.4329 - val_loss: 2.1677 - val_acc: 0.2500 Epoch 864/1000 700/700 [==============================] - 0s 500us/step - loss: 1.4053 - acc: 0.4329 - val_loss: 2.1628 - val_acc: 0.2533 Epoch 865/1000 700/700 [==============================] - 0s 486us/step - loss: 1.4047 - acc: 0.4386 - val_loss: 2.1682 - val_acc: 0.2633 Epoch 866/1000 700/700 [==============================] - 0s 507us/step - loss: 1.4049 - acc: 0.4314 - val_loss: 2.1387 - val_acc: 0.2433 Epoch 867/1000 700/700 [==============================] - 0s 571us/step - loss: 1.4052 - acc: 0.4357 - val_loss: 2.1681 - val_acc: 0.2433 Epoch 868/1000 700/700 [==============================] - 0s 588us/step - loss: 1.4054 - acc: 0.4357 - val_loss: 2.1608 - val_acc: 0.2467 Epoch 869/1000 700/700 [==============================] - 0s 601us/step - loss: 1.4050 - acc: 0.4386 - val_loss: 2.1594 - val_acc: 0.2400 Epoch 870/1000 700/700 [==============================] - 0s 492us/step - loss: 1.4034 - acc: 0.4357 - val_loss: 2.1720 - val_acc: 0.2467 Epoch 871/1000 700/700 [==============================] - 0s 550us/step - loss: 1.4048 - acc: 0.4314 - val_loss: 2.1759 - val_acc: 0.2467 Epoch 872/1000 700/700 [==============================] - 0s 536us/step - loss: 1.4037 - acc: 0.4357 - val_loss: 2.1607 - val_acc: 0.2567 Epoch 873/1000 700/700 [==============================] - 0s 527us/step - loss: 1.4042 - acc: 0.4343 - val_loss: 2.1424 - val_acc: 0.2367 Epoch 874/1000 700/700 [==============================] - 0s 601us/step - loss: 1.4048 - acc: 0.4329 - val_loss: 2.1525 - val_acc: 0.2367 Epoch 875/1000 700/700 [==============================] - 0s 507us/step - loss: 1.4038 - acc: 0.4329 - val_loss: 2.1739 - val_acc: 0.2467 Epoch 876/1000 700/700 [==============================] - 0s 584us/step - loss: 1.4035 - acc: 0.4314 - val_loss: 2.1520 - val_acc: 0.2433 Epoch 877/1000 700/700 [==============================] - 0s 490us/step - loss: 1.4037 - acc: 0.4271 - val_loss: 2.1733 - val_acc: 0.2367 Epoch 878/1000 700/700 [==============================] - 0s 527us/step - loss: 1.4042 - acc: 0.4343 - val_loss: 2.1688 - val_acc: 0.2400 Epoch 879/1000 700/700 [==============================] - 0s 506us/step - loss: 1.4012 - acc: 0.4371 - val_loss: 2.1696 - val_acc: 0.2400 Epoch 880/1000 700/700 [==============================] - 0s 482us/step - loss: 1.4051 - acc: 0.4329 - val_loss: 2.1589 - val_acc: 0.2400 Epoch 881/1000 700/700 [==============================] - 0s 511us/step - loss: 1.4035 - acc: 0.4429 - val_loss: 2.1855 - val_acc: 0.2500 Epoch 882/1000 700/700 [==============================] - 0s 463us/step - loss: 1.4035 - acc: 0.4371 - val_loss: 2.1721 - val_acc: 0.2400 Epoch 883/1000 700/700 [==============================] - 0s 473us/step - loss: 1.4044 - acc: 0.4286 - val_loss: 2.1476 - val_acc: 0.2400 Epoch 884/1000 700/700 [==============================] - 0s 540us/step - loss: 1.4027 - acc: 0.4314 - val_loss: 2.1799 - val_acc: 0.2533 Epoch 885/1000 700/700 [==============================] - 0s 487us/step - loss: 1.4031 - acc: 0.4314 - val_loss: 2.1444 - val_acc: 0.2433 Epoch 886/1000 700/700 [==============================] - 0s 467us/step - loss: 1.4036 - acc: 0.4386 - val_loss: 2.1664 - val_acc: 0.2467 Epoch 887/1000 700/700 [==============================] - 0s 590us/step - loss: 1.4026 - acc: 0.4371 - val_loss: 2.1546 - val_acc: 0.2367 Epoch 888/1000 700/700 [==============================] - 0s 564us/step - loss: 1.4027 - acc: 0.4357 - val_loss: 2.1653 - val_acc: 0.2400 Epoch 889/1000 700/700 [==============================] - 0s 524us/step - loss: 1.4010 - acc: 0.4443 - val_loss: 2.1763 - val_acc: 0.2600 Epoch 890/1000 700/700 [==============================] - 0s 671us/step - loss: 1.4028 - acc: 0.4386 - val_loss: 2.1675 - val_acc: 0.2567 Epoch 891/1000 700/700 [==============================] - 0s 479us/step - loss: 1.4024 - acc: 0.4271 - val_loss: 2.1707 - val_acc: 0.2433 Epoch 892/1000 700/700 [==============================] - 0s 480us/step - loss: 1.4024 - acc: 0.4357 - val_loss: 2.1736 - val_acc: 0.2433 Epoch 893/1000 700/700 [==============================] - 0s 496us/step - loss: 1.4018 - acc: 0.4357 - val_loss: 2.1794 - val_acc: 0.2433 Epoch 894/1000 700/700 [==============================] - 0s 527us/step - loss: 1.4020 - acc: 0.4429 - val_loss: 2.1670 - val_acc: 0.2400 Epoch 895/1000 700/700 [==============================] - 0s 554us/step - loss: 1.4012 - acc: 0.4343 - val_loss: 2.1696 - val_acc: 0.2467 Epoch 896/1000 700/700 [==============================] - 0s 597us/step - loss: 1.4014 - acc: 0.4357 - val_loss: 2.1745 - val_acc: 0.2600 Epoch 897/1000 700/700 [==============================] - 0s 578us/step - loss: 1.4017 - acc: 0.4343 - val_loss: 2.1688 - val_acc: 0.2533 Epoch 898/1000 700/700 [==============================] - 0s 558us/step - loss: 1.4011 - acc: 0.4386 - val_loss: 2.1869 - val_acc: 0.2467 Epoch 899/1000 700/700 [==============================] - 0s 482us/step - loss: 1.4015 - acc: 0.4343 - val_loss: 2.1634 - val_acc: 0.2467 Epoch 900/1000 700/700 [==============================] - 0s 571us/step - loss: 1.4001 - acc: 0.4471 - val_loss: 2.1660 - val_acc: 0.2467 Epoch 901/1000 700/700 [==============================] - 0s 578us/step - loss: 1.3999 - acc: 0.4400 - val_loss: 2.1780 - val_acc: 0.2533 Epoch 902/1000 700/700 [==============================] - 0s 584us/step - loss: 1.4001 - acc: 0.4343 - val_loss: 2.1718 - val_acc: 0.2467 Epoch 903/1000 700/700 [==============================] - 0s 543us/step - loss: 1.3992 - acc: 0.4414 - val_loss: 2.1847 - val_acc: 0.2633 Epoch 904/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3991 - acc: 0.4357 - val_loss: 2.1637 - val_acc: 0.2400 Epoch 905/1000 700/700 [==============================] - 0s 511us/step - loss: 1.4010 - acc: 0.4400 - val_loss: 2.1595 - val_acc: 0.2400 Epoch 906/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3998 - acc: 0.4371 - val_loss: 2.1560 - val_acc: 0.2367 Epoch 907/1000 700/700 [==============================] - 0s 509us/step - loss: 1.4003 - acc: 0.4386 - val_loss: 2.1815 - val_acc: 0.2467 Epoch 908/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3997 - acc: 0.4414 - val_loss: 2.1730 - val_acc: 0.2433 Epoch 909/1000 700/700 [==============================] - 0s 470us/step - loss: 1.3993 - acc: 0.4329 - val_loss: 2.1789 - val_acc: 0.2500 Epoch 910/1000 700/700 [==============================] - 0s 492us/step - loss: 1.4004 - acc: 0.4357 - val_loss: 2.1613 - val_acc: 0.2400 Epoch 911/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3991 - acc: 0.4371 - val_loss: 2.1790 - val_acc: 0.2367 Epoch 912/1000 700/700 [==============================] - 0s 526us/step - loss: 1.3995 - acc: 0.4400 - val_loss: 2.1687 - val_acc: 0.2367 Epoch 913/1000 700/700 [==============================] - 0s 531us/step - loss: 1.4000 - acc: 0.4371 - val_loss: 2.1881 - val_acc: 0.2433 Epoch 914/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3988 - acc: 0.4386 - val_loss: 2.1862 - val_acc: 0.2567 Epoch 915/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3990 - acc: 0.4343 - val_loss: 2.1746 - val_acc: 0.2467 Epoch 916/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3987 - acc: 0.4386 - val_loss: 2.1795 - val_acc: 0.2400 Epoch 917/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3978 - acc: 0.4400 - val_loss: 2.1797 - val_acc: 0.2400 Epoch 918/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3970 - acc: 0.4386 - val_loss: 2.1789 - val_acc: 0.2533 Epoch 919/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3984 - acc: 0.4329 - val_loss: 2.1871 - val_acc: 0.2433 Epoch 920/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3988 - acc: 0.4343 - val_loss: 2.1695 - val_acc: 0.2500 Epoch 921/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3984 - acc: 0.4357 - val_loss: 2.1721 - val_acc: 0.2400 Epoch 922/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3967 - acc: 0.4400 - val_loss: 2.1838 - val_acc: 0.2500 Epoch 923/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3966 - acc: 0.4386 - val_loss: 2.1709 - val_acc: 0.2567 Epoch 924/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3988 - acc: 0.4414 - val_loss: 2.1766 - val_acc: 0.2467 Epoch 925/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3970 - acc: 0.4343 - val_loss: 2.1822 - val_acc: 0.2367 Epoch 926/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3972 - acc: 0.4443 - val_loss: 2.1771 - val_acc: 0.2467 Epoch 927/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3975 - acc: 0.4357 - val_loss: 2.1778 - val_acc: 0.2400 Epoch 928/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3971 - acc: 0.4400 - val_loss: 2.1921 - val_acc: 0.2433 Epoch 929/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3971 - acc: 0.4414 - val_loss: 2.1917 - val_acc: 0.2400 Epoch 930/1000 700/700 [==============================] - 0s 469us/step - loss: 1.3971 - acc: 0.4357 - val_loss: 2.1789 - val_acc: 0.2467 Epoch 931/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3967 - acc: 0.4329 - val_loss: 2.1803 - val_acc: 0.2467 Epoch 932/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3962 - acc: 0.4400 - val_loss: 2.1716 - val_acc: 0.2500 Epoch 933/1000 700/700 [==============================] - 0s 517us/step - loss: 1.3966 - acc: 0.4314 - val_loss: 2.1818 - val_acc: 0.2467 Epoch 934/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3958 - acc: 0.4414 - val_loss: 2.1874 - val_acc: 0.2500 Epoch 935/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3966 - acc: 0.4414 - val_loss: 2.1846 - val_acc: 0.2500 Epoch 936/1000 700/700 [==============================] - 0s 469us/step - loss: 1.3965 - acc: 0.4429 - val_loss: 2.1883 - val_acc: 0.2500 Epoch 937/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3960 - acc: 0.4400 - val_loss: 2.1831 - val_acc: 0.2367 Epoch 938/1000 700/700 [==============================] - 0s 456us/step - loss: 1.3953 - acc: 0.4443 - val_loss: 2.1899 - val_acc: 0.2500 Epoch 939/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3953 - acc: 0.4386 - val_loss: 2.1980 - val_acc: 0.2500 Epoch 940/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3960 - acc: 0.4343 - val_loss: 2.1790 - val_acc: 0.2400 Epoch 941/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3957 - acc: 0.4343 - val_loss: 2.1841 - val_acc: 0.2400 Epoch 942/1000 700/700 [==============================] - 0s 464us/step - loss: 1.3947 - acc: 0.4357 - val_loss: 2.1692 - val_acc: 0.2333 Epoch 943/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3955 - acc: 0.4414 - val_loss: 2.1922 - val_acc: 0.2433 Epoch 944/1000 700/700 [==============================] - 0s 446us/step - loss: 1.3944 - acc: 0.4371 - val_loss: 2.1942 - val_acc: 0.2433 Epoch 945/1000 700/700 [==============================] - 0s 456us/step - loss: 1.3947 - acc: 0.4329 - val_loss: 2.1898 - val_acc: 0.2500 Epoch 946/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3945 - acc: 0.4329 - val_loss: 2.1833 - val_acc: 0.2467 Epoch 947/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3939 - acc: 0.4414 - val_loss: 2.1935 - val_acc: 0.2533 Epoch 948/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3940 - acc: 0.4300 - val_loss: 2.1744 - val_acc: 0.2367 Epoch 949/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3938 - acc: 0.4471 - val_loss: 2.1834 - val_acc: 0.2400 Epoch 950/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3929 - acc: 0.4386 - val_loss: 2.1845 - val_acc: 0.2367 Epoch 951/1000 700/700 [==============================] - 0s 520us/step - loss: 1.3940 - acc: 0.4429 - val_loss: 2.1889 - val_acc: 0.2500 Epoch 952/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3938 - acc: 0.4414 - val_loss: 2.1852 - val_acc: 0.2467 Epoch 953/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3935 - acc: 0.4371 - val_loss: 2.1988 - val_acc: 0.2533 Epoch 954/1000 700/700 [==============================] - 0s 516us/step - loss: 1.3940 - acc: 0.4471 - val_loss: 2.1858 - val_acc: 0.2567 Epoch 955/1000 700/700 [==============================] - 0s 519us/step - loss: 1.3936 - acc: 0.4429 - val_loss: 2.1951 - val_acc: 0.2500 Epoch 956/1000 700/700 [==============================] - 0s 460us/step - loss: 1.3928 - acc: 0.4386 - val_loss: 2.2024 - val_acc: 0.2433 Epoch 957/1000 700/700 [==============================] - 0s 527us/step - loss: 1.3925 - acc: 0.4414 - val_loss: 2.1847 - val_acc: 0.2433 Epoch 958/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3938 - acc: 0.4343 - val_loss: 2.2130 - val_acc: 0.2467 Epoch 959/1000 700/700 [==============================] - 0s 517us/step - loss: 1.3936 - acc: 0.4414 - val_loss: 2.1808 - val_acc: 0.2467 Epoch 960/1000 700/700 [==============================] - 0s 526us/step - loss: 1.3930 - acc: 0.4400 - val_loss: 2.1918 - val_acc: 0.2467 Epoch 961/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3923 - acc: 0.4429 - val_loss: 2.1688 - val_acc: 0.2467 Epoch 962/1000 700/700 [==============================] - 0s 524us/step - loss: 1.3931 - acc: 0.4400 - val_loss: 2.1895 - val_acc: 0.2467 Epoch 963/1000 700/700 [==============================] - 0s 520us/step - loss: 1.3926 - acc: 0.4386 - val_loss: 2.1845 - val_acc: 0.2500 Epoch 964/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3919 - acc: 0.4357 - val_loss: 2.1782 - val_acc: 0.2433 Epoch 965/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3913 - acc: 0.4414 - val_loss: 2.1849 - val_acc: 0.2533 Epoch 966/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3924 - acc: 0.4429 - val_loss: 2.1969 - val_acc: 0.2567 Epoch 967/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3923 - acc: 0.4429 - val_loss: 2.1947 - val_acc: 0.2467 Epoch 968/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3913 - acc: 0.4400 - val_loss: 2.1865 - val_acc: 0.2433 Epoch 969/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3917 - acc: 0.4414 - val_loss: 2.1907 - val_acc: 0.2433 Epoch 970/1000 700/700 [==============================] - 0s 566us/step - loss: 1.3916 - acc: 0.4400 - val_loss: 2.2006 - val_acc: 0.2400 Epoch 971/1000 700/700 [==============================] - 0s 531us/step - loss: 1.3916 - acc: 0.4414 - val_loss: 2.1862 - val_acc: 0.2467 Epoch 972/1000 700/700 [==============================] - 0s 523us/step - loss: 1.3913 - acc: 0.4386 - val_loss: 2.2011 - val_acc: 0.2333 Epoch 973/1000 700/700 [==============================] - 0s 550us/step - loss: 1.3901 - acc: 0.4400 - val_loss: 2.1959 - val_acc: 0.2500 Epoch 974/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3908 - acc: 0.4386 - val_loss: 2.1971 - val_acc: 0.2500 Epoch 975/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3907 - acc: 0.4443 - val_loss: 2.2058 - val_acc: 0.2500 Epoch 976/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3905 - acc: 0.4429 - val_loss: 2.1920 - val_acc: 0.2500 Epoch 977/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3905 - acc: 0.4343 - val_loss: 2.1915 - val_acc: 0.2400 Epoch 978/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3904 - acc: 0.4486 - val_loss: 2.1936 - val_acc: 0.2533 Epoch 979/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3906 - acc: 0.4429 - val_loss: 2.1917 - val_acc: 0.2467 Epoch 980/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3906 - acc: 0.4429 - val_loss: 2.2041 - val_acc: 0.2500 Epoch 981/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3894 - acc: 0.4371 - val_loss: 2.2124 - val_acc: 0.2500 Epoch 982/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3902 - acc: 0.4400 - val_loss: 2.1965 - val_acc: 0.2533 Epoch 983/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3897 - acc: 0.4357 - val_loss: 2.2004 - val_acc: 0.2500 Epoch 984/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3898 - acc: 0.4414 - val_loss: 2.1945 - val_acc: 0.2500 Epoch 985/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3891 - acc: 0.4400 - val_loss: 2.2033 - val_acc: 0.2367 Epoch 986/1000 700/700 [==============================] - 0s 521us/step - loss: 1.3891 - acc: 0.4414 - val_loss: 2.2010 - val_acc: 0.2500 Epoch 987/1000 700/700 [==============================] - 0s 523us/step - loss: 1.3887 - acc: 0.4414 - val_loss: 2.1880 - val_acc: 0.2400 Epoch 988/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3886 - acc: 0.4429 - val_loss: 2.2116 - val_acc: 0.2633 Epoch 989/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3903 - acc: 0.4357 - val_loss: 2.2104 - val_acc: 0.2533 Epoch 990/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3887 - acc: 0.4443 - val_loss: 2.2221 - val_acc: 0.2533 Epoch 991/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3890 - acc: 0.4471 - val_loss: 2.1938 - val_acc: 0.2433 Epoch 992/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3888 - acc: 0.4371 - val_loss: 2.2048 - val_acc: 0.2400 Epoch 993/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3885 - acc: 0.4457 - val_loss: 2.2089 - val_acc: 0.2533 Epoch 994/1000 700/700 [==============================] - 0s 511us/step - loss: 1.3885 - acc: 0.4357 - val_loss: 2.1919 - val_acc: 0.2367 Epoch 995/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3890 - acc: 0.4429 - val_loss: 2.2041 - val_acc: 0.2500 Epoch 996/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3877 - acc: 0.4457 - val_loss: 2.2035 - val_acc: 0.2467 Epoch 997/1000 700/700 [==============================] - 0s 591us/step - loss: 1.3879 - acc: 0.4429 - val_loss: 2.2026 - val_acc: 0.2533 Epoch 998/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3887 - acc: 0.4386 - val_loss: 2.2113 - val_acc: 0.2533 Epoch 999/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3881 - acc: 0.4386 - val_loss: 2.2013 - val_acc: 0.2500 Epoch 1000/1000 700/700 [==============================] - 0s 574us/step - loss: 1.3879 - acc: 0.4386 - val_loss: 2.2080 - val_acc: 0.2500
loss_and_metrics=model.evaluate(x_test, y_test, batch_size=32)
print('loss and metrics:'+str(loss_and_metrics))
10000/10000 [==============================] - 0s 50us/step loss and metrics:[2.25819593334198, 0.2657]
from IPython.display import SVG
from keras.utils.vis_utils import model_to_dot
%matplotlib inline
SVG(model_to_dot(model, show_shapes=True).create(prog='dot', format='svg'))
from keras.models import load_model
model.save('mnist_mlp_model.h5')
model=load_model('mnist_mlp_model.h5')
fig, loss_ax=plt.subplots()
acc_ax=loss_ax.twinx()
loss_ax.plot(hist.history['loss'], 'y', label='train loss')
loss_ax.plot(hist.history['val_loss'], 'r', label='val loss')
acc_ax.plot(hist.history['acc'], 'b', label='train acc')
acc_ax.plot(hist.history['val_acc'], 'g', label='val acc')
loss_ax.set_xlabel('epoch')
loss_ax.set_ylabel('loss')
acc_ax.set_ylabel('accuracy')
loss_ax.legend(loc='upper left')
acc_ax.legend(loc='lower left')
<matplotlib.legend.Legend at 0x23ebe5b4b38>
# 使用tensorboard
import keras
tb_hist=keras.callbacks.TensorBoard(log_dir='./graph', histogram_freq=0, write_graph=True, write_images=True)
model.fit(x_train, y_train, epochs=1000, batch_size=10, validation_data=(x_val, y_val), callbacks=[tb_hist])
# 命令行tensorboard --logdir=D:\Projects\python_projects\DA_and_ML\graph --host=127.0.0.1
Train on 700 samples, validate on 300 samples WARNING:tensorflow:From D:\Programing\Anaconda3\envs\tf1_env\lib\site-packages\keras\callbacks.py:850: The name tf.summary.merge_all is deprecated. Please use tf.compat.v1.summary.merge_all instead. WARNING:tensorflow:From D:\Programing\Anaconda3\envs\tf1_env\lib\site-packages\keras\callbacks.py:853: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead. Epoch 1/1000 700/700 [==============================] - 0s 594us/step - loss: 1.3879 - acc: 0.4400 - val_loss: 2.2093 - val_acc: 0.2400 Epoch 2/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3880 - acc: 0.4400 - val_loss: 2.2086 - val_acc: 0.2533 Epoch 3/1000 700/700 [==============================] - 0s 550us/step - loss: 1.3865 - acc: 0.4457 - val_loss: 2.2155 - val_acc: 0.2567 Epoch 4/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3869 - acc: 0.4386 - val_loss: 2.2161 - val_acc: 0.2433 Epoch 5/1000 700/700 [==============================] - 0s 443us/step - loss: 1.3867 - acc: 0.4457 - val_loss: 2.2102 - val_acc: 0.2333 Epoch 6/1000 700/700 [==============================] - 0s 526us/step - loss: 1.3870 - acc: 0.4414 - val_loss: 2.2145 - val_acc: 0.2567 Epoch 7/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3871 - acc: 0.4386 - val_loss: 2.2068 - val_acc: 0.2533 Epoch 8/1000 700/700 [==============================] - 0s 445us/step - loss: 1.3857 - acc: 0.4486 - val_loss: 2.2231 - val_acc: 0.2333 Epoch 9/1000 700/700 [==============================] - 0s 521us/step - loss: 1.3862 - acc: 0.4329 - val_loss: 2.2017 - val_acc: 0.2533 Epoch 10/1000 700/700 [==============================] - 0s 531us/step - loss: 1.3856 - acc: 0.4457 - val_loss: 2.2128 - val_acc: 0.2567 Epoch 11/1000 700/700 [==============================] - 0s 583us/step - loss: 1.3864 - acc: 0.4429 - val_loss: 2.2039 - val_acc: 0.2533 Epoch 12/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3865 - acc: 0.4371 - val_loss: 2.2071 - val_acc: 0.2533 Epoch 13/1000 700/700 [==============================] - 0s 451us/step - loss: 1.3861 - acc: 0.4443 - val_loss: 2.2039 - val_acc: 0.2433 Epoch 14/1000 700/700 [==============================] - 0s 544us/step - loss: 1.3855 - acc: 0.4500 - val_loss: 2.1987 - val_acc: 0.2400 Epoch 15/1000 700/700 [==============================] - 0s 481us/step - loss: 1.3856 - acc: 0.4443 - val_loss: 2.2131 - val_acc: 0.2533 Epoch 16/1000 700/700 [==============================] - 0s 471us/step - loss: 1.3860 - acc: 0.4414 - val_loss: 2.2116 - val_acc: 0.2500 Epoch 17/1000 700/700 [==============================] - 0s 520us/step - loss: 1.3849 - acc: 0.4429 - val_loss: 2.2087 - val_acc: 0.2467 Epoch 18/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3850 - acc: 0.4457 - val_loss: 2.2113 - val_acc: 0.2567 Epoch 19/1000 700/700 [==============================] - 0s 463us/step - loss: 1.3861 - acc: 0.4400 - val_loss: 2.2047 - val_acc: 0.2433 Epoch 20/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3849 - acc: 0.4457 - val_loss: 2.2214 - val_acc: 0.2467 Epoch 21/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3856 - acc: 0.4443 - val_loss: 2.2072 - val_acc: 0.2533 Epoch 22/1000 700/700 [==============================] - 0s 562us/step - loss: 1.3856 - acc: 0.4429 - val_loss: 2.2065 - val_acc: 0.2500 Epoch 23/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3847 - acc: 0.4386 - val_loss: 2.2234 - val_acc: 0.2533 Epoch 24/1000 700/700 [==============================] - 0s 550us/step - loss: 1.3849 - acc: 0.4386 - val_loss: 2.1959 - val_acc: 0.2333 Epoch 25/1000 700/700 [==============================] - 0s 527us/step - loss: 1.3841 - acc: 0.4400 - val_loss: 2.2083 - val_acc: 0.2400 Epoch 26/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3836 - acc: 0.4400 - val_loss: 2.1890 - val_acc: 0.2333 Epoch 27/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3847 - acc: 0.4386 - val_loss: 2.2103 - val_acc: 0.2500 Epoch 28/1000 700/700 [==============================] - 0s 516us/step - loss: 1.3850 - acc: 0.4471 - val_loss: 2.2028 - val_acc: 0.2533 Epoch 29/1000 700/700 [==============================] - 0s 445us/step - loss: 1.3832 - acc: 0.4414 - val_loss: 2.2102 - val_acc: 0.2400 Epoch 30/1000 700/700 [==============================] - 0s 457us/step - loss: 1.3837 - acc: 0.4443 - val_loss: 2.2251 - val_acc: 0.2500 Epoch 31/1000 700/700 [==============================] - 0s 528us/step - loss: 1.3834 - acc: 0.4500 - val_loss: 2.2037 - val_acc: 0.2467 Epoch 32/1000 700/700 [==============================] - 0s 456us/step - loss: 1.3844 - acc: 0.4400 - val_loss: 2.2158 - val_acc: 0.2533 Epoch 33/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3818 - acc: 0.4414 - val_loss: 2.2060 - val_acc: 0.2367 Epoch 34/1000 700/700 [==============================] - 0s 550us/step - loss: 1.3837 - acc: 0.4429 - val_loss: 2.2123 - val_acc: 0.2433 Epoch 35/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3838 - acc: 0.4400 - val_loss: 2.2063 - val_acc: 0.2433 Epoch 36/1000 700/700 [==============================] - 0s 527us/step - loss: 1.3824 - acc: 0.4486 - val_loss: 2.2118 - val_acc: 0.2533 Epoch 37/1000 700/700 [==============================] - 0s 537us/step - loss: 1.3837 - acc: 0.4429 - val_loss: 2.2143 - val_acc: 0.2500 Epoch 38/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3824 - acc: 0.4429 - val_loss: 2.2243 - val_acc: 0.2433 Epoch 39/1000 700/700 [==============================] - 0s 519us/step - loss: 1.3841 - acc: 0.4429 - val_loss: 2.2066 - val_acc: 0.2433 Epoch 40/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3821 - acc: 0.4486 - val_loss: 2.2099 - val_acc: 0.2500 Epoch 41/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3827 - acc: 0.4386 - val_loss: 2.2176 - val_acc: 0.2567 Epoch 42/1000 700/700 [==============================] - 0s 546us/step - loss: 1.3828 - acc: 0.4386 - val_loss: 2.2151 - val_acc: 0.2533 Epoch 43/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3815 - acc: 0.4457 - val_loss: 2.2218 - val_acc: 0.2333 Epoch 44/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3834 - acc: 0.4486 - val_loss: 2.2104 - val_acc: 0.2467 Epoch 45/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3831 - acc: 0.4471 - val_loss: 2.2180 - val_acc: 0.2500 Epoch 46/1000 700/700 [==============================] - 0s 464us/step - loss: 1.3813 - acc: 0.4429 - val_loss: 2.2336 - val_acc: 0.2300 Epoch 47/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3824 - acc: 0.4471 - val_loss: 2.2047 - val_acc: 0.2433 Epoch 48/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3818 - acc: 0.4514 - val_loss: 2.2105 - val_acc: 0.2433 Epoch 49/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3817 - acc: 0.4471 - val_loss: 2.2069 - val_acc: 0.2500 Epoch 50/1000 700/700 [==============================] - 0s 513us/step - loss: 1.3806 - acc: 0.4500 - val_loss: 2.2323 - val_acc: 0.2567 Epoch 51/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3817 - acc: 0.4414 - val_loss: 2.2142 - val_acc: 0.2367 Epoch 52/1000 700/700 [==============================] - 0s 472us/step - loss: 1.3817 - acc: 0.4400 - val_loss: 2.2200 - val_acc: 0.2567 Epoch 53/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3810 - acc: 0.4386 - val_loss: 2.2076 - val_acc: 0.2533 Epoch 54/1000 700/700 [==============================] - 0s 524us/step - loss: 1.3815 - acc: 0.4457 - val_loss: 2.2183 - val_acc: 0.2533 Epoch 55/1000 700/700 [==============================] - 0s 536us/step - loss: 1.3807 - acc: 0.4500 - val_loss: 2.2388 - val_acc: 0.2467 Epoch 56/1000 700/700 [==============================] - 0s 530us/step - loss: 1.3810 - acc: 0.4529 - val_loss: 2.2213 - val_acc: 0.2433 Epoch 57/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3800 - acc: 0.4443 - val_loss: 2.1985 - val_acc: 0.2433 Epoch 58/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3807 - acc: 0.4443 - val_loss: 2.2162 - val_acc: 0.2500 Epoch 59/1000 700/700 [==============================] - 0s 517us/step - loss: 1.3807 - acc: 0.4471 - val_loss: 2.2108 - val_acc: 0.2367 Epoch 60/1000 700/700 [==============================] - 0s 467us/step - loss: 1.3799 - acc: 0.4471 - val_loss: 2.2356 - val_acc: 0.2567 Epoch 61/1000 700/700 [==============================] - 0s 459us/step - loss: 1.3805 - acc: 0.4414 - val_loss: 2.2241 - val_acc: 0.2533 Epoch 62/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3795 - acc: 0.4500 - val_loss: 2.2459 - val_acc: 0.2567 Epoch 63/1000 700/700 [==============================] - 0s 543us/step - loss: 1.3803 - acc: 0.4457 - val_loss: 2.2337 - val_acc: 0.2533 Epoch 64/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3805 - acc: 0.4443 - val_loss: 2.2136 - val_acc: 0.2367 Epoch 65/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3807 - acc: 0.4457 - val_loss: 2.2252 - val_acc: 0.2500 Epoch 66/1000 700/700 [==============================] - 0s 463us/step - loss: 1.3797 - acc: 0.4486 - val_loss: 2.2142 - val_acc: 0.2533 Epoch 67/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3792 - acc: 0.4500 - val_loss: 2.2230 - val_acc: 0.2467 Epoch 68/1000 700/700 [==============================] - 0s 512us/step - loss: 1.3791 - acc: 0.4543 - val_loss: 2.2406 - val_acc: 0.2500 Epoch 69/1000 700/700 [==============================] - 0s 465us/step - loss: 1.3804 - acc: 0.4443 - val_loss: 2.2083 - val_acc: 0.2467 Epoch 70/1000 700/700 [==============================] - 0s 518us/step - loss: 1.3796 - acc: 0.4500 - val_loss: 2.2231 - val_acc: 0.2533 Epoch 71/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3787 - acc: 0.4443 - val_loss: 2.2191 - val_acc: 0.2400 Epoch 72/1000 700/700 [==============================] - 0s 473us/step - loss: 1.3797 - acc: 0.4486 - val_loss: 2.2227 - val_acc: 0.2433 Epoch 73/1000 700/700 [==============================] - 0s 523us/step - loss: 1.3788 - acc: 0.4457 - val_loss: 2.2252 - val_acc: 0.2500 Epoch 74/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3793 - acc: 0.4486 - val_loss: 2.2204 - val_acc: 0.2500 Epoch 75/1000 700/700 [==============================] - 0s 488us/step - loss: 1.3791 - acc: 0.4386 - val_loss: 2.2312 - val_acc: 0.2467 Epoch 76/1000 700/700 [==============================] - 0s 511us/step - loss: 1.3783 - acc: 0.4486 - val_loss: 2.2312 - val_acc: 0.2533 Epoch 77/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3786 - acc: 0.4429 - val_loss: 2.2292 - val_acc: 0.2500 Epoch 78/1000 700/700 [==============================] - 0s 564us/step - loss: 1.3773 - acc: 0.4429 - val_loss: 2.2251 - val_acc: 0.2533 Epoch 79/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3789 - acc: 0.4457 - val_loss: 2.2055 - val_acc: 0.2400 Epoch 80/1000 700/700 [==============================] - 0s 470us/step - loss: 1.3782 - acc: 0.4514 - val_loss: 2.2307 - val_acc: 0.2500 Epoch 81/1000 700/700 [==============================] - 0s 523us/step - loss: 1.3786 - acc: 0.4457 - val_loss: 2.2205 - val_acc: 0.2367 Epoch 82/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3785 - acc: 0.4443 - val_loss: 2.2390 - val_acc: 0.2467 Epoch 83/1000 700/700 [==============================] - 0s 453us/step - loss: 1.3784 - acc: 0.4414 - val_loss: 2.2304 - val_acc: 0.2467 Epoch 84/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3777 - acc: 0.4514 - val_loss: 2.2339 - val_acc: 0.2533 Epoch 85/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3777 - acc: 0.4457 - val_loss: 2.2188 - val_acc: 0.2433 Epoch 86/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3776 - acc: 0.4400 - val_loss: 2.2132 - val_acc: 0.2467 Epoch 87/1000 700/700 [==============================] - 0s 557us/step - loss: 1.3774 - acc: 0.4529 - val_loss: 2.2155 - val_acc: 0.2500 Epoch 88/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3765 - acc: 0.4457 - val_loss: 2.2379 - val_acc: 0.2367 Epoch 89/1000 700/700 [==============================] - 0s 544us/step - loss: 1.3775 - acc: 0.4457 - val_loss: 2.2477 - val_acc: 0.2533 Epoch 90/1000 700/700 [==============================] - 0s 534us/step - loss: 1.3771 - acc: 0.4457 - val_loss: 2.2164 - val_acc: 0.2467 Epoch 91/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3763 - acc: 0.4457 - val_loss: 2.2377 - val_acc: 0.2500 Epoch 92/1000 700/700 [==============================] - 0s 526us/step - loss: 1.3767 - acc: 0.4500 - val_loss: 2.2325 - val_acc: 0.2533 Epoch 93/1000 700/700 [==============================] - 0s 588us/step - loss: 1.3771 - acc: 0.4414 - val_loss: 2.2096 - val_acc: 0.2467 Epoch 94/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3768 - acc: 0.4457 - val_loss: 2.2295 - val_acc: 0.2333 Epoch 95/1000 700/700 [==============================] - 0s 597us/step - loss: 1.3762 - acc: 0.4443 - val_loss: 2.2331 - val_acc: 0.2467 Epoch 96/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3754 - acc: 0.4486 - val_loss: 2.2215 - val_acc: 0.2433 Epoch 97/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3760 - acc: 0.4471 - val_loss: 2.2460 - val_acc: 0.2500 Epoch 98/1000 700/700 [==============================] - 0s 539us/step - loss: 1.3761 - acc: 0.4557 - val_loss: 2.2283 - val_acc: 0.2533 Epoch 99/1000 700/700 [==============================] - 0s 524us/step - loss: 1.3763 - acc: 0.4486 - val_loss: 2.2330 - val_acc: 0.2467 Epoch 100/1000 700/700 [==============================] - 0s 539us/step - loss: 1.3751 - acc: 0.4486 - val_loss: 2.2307 - val_acc: 0.2367 Epoch 101/1000 700/700 [==============================] - 0s 529us/step - loss: 1.3761 - acc: 0.4400 - val_loss: 2.2261 - val_acc: 0.2500 Epoch 102/1000 700/700 [==============================] - 0s 537us/step - loss: 1.3760 - acc: 0.4514 - val_loss: 2.2226 - val_acc: 0.2567 Epoch 103/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3754 - acc: 0.4486 - val_loss: 2.2249 - val_acc: 0.2467 Epoch 104/1000 700/700 [==============================] - 0s 449us/step - loss: 1.3762 - acc: 0.4457 - val_loss: 2.2338 - val_acc: 0.2533 Epoch 105/1000 700/700 [==============================] - 0s 475us/step - loss: 1.3746 - acc: 0.4400 - val_loss: 2.2165 - val_acc: 0.2433 Epoch 106/1000 700/700 [==============================] - 0s 523us/step - loss: 1.3751 - acc: 0.4457 - val_loss: 2.2326 - val_acc: 0.2333 Epoch 107/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3759 - acc: 0.4486 - val_loss: 2.2304 - val_acc: 0.2367 Epoch 108/1000 700/700 [==============================] - 0s 471us/step - loss: 1.3749 - acc: 0.4471 - val_loss: 2.2213 - val_acc: 0.2500 Epoch 109/1000 700/700 [==============================] - 0s 530us/step - loss: 1.3739 - acc: 0.4529 - val_loss: 2.2375 - val_acc: 0.2467 Epoch 110/1000 700/700 [==============================] - 0s 464us/step - loss: 1.3756 - acc: 0.4429 - val_loss: 2.2250 - val_acc: 0.2500 Epoch 111/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3752 - acc: 0.4500 - val_loss: 2.2288 - val_acc: 0.2400 Epoch 112/1000 700/700 [==============================] - 0s 521us/step - loss: 1.3742 - acc: 0.4471 - val_loss: 2.2368 - val_acc: 0.2400 Epoch 113/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3754 - acc: 0.4429 - val_loss: 2.2281 - val_acc: 0.2533 Epoch 114/1000 700/700 [==============================] - 0s 511us/step - loss: 1.3749 - acc: 0.4443 - val_loss: 2.2358 - val_acc: 0.2433 Epoch 115/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3738 - acc: 0.4457 - val_loss: 2.2195 - val_acc: 0.2467 Epoch 116/1000 700/700 [==============================] - 0s 456us/step - loss: 1.3745 - acc: 0.4529 - val_loss: 2.2357 - val_acc: 0.2367 Epoch 117/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3751 - acc: 0.4543 - val_loss: 2.2463 - val_acc: 0.2467 Epoch 118/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3729 - acc: 0.4529 - val_loss: 2.2418 - val_acc: 0.2367 Epoch 119/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3744 - acc: 0.4443 - val_loss: 2.2354 - val_acc: 0.2333 Epoch 120/1000 700/700 [==============================] - 0s 540us/step - loss: 1.3733 - acc: 0.4557 - val_loss: 2.2478 - val_acc: 0.2333 Epoch 121/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3736 - acc: 0.4443 - val_loss: 2.2408 - val_acc: 0.2533 Epoch 122/1000 700/700 [==============================] - 0s 644us/step - loss: 1.3733 - acc: 0.4500 - val_loss: 2.2474 - val_acc: 0.2500 Epoch 123/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3730 - acc: 0.4457 - val_loss: 2.2336 - val_acc: 0.2367 Epoch 124/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3729 - acc: 0.4586 - val_loss: 2.2469 - val_acc: 0.2467 Epoch 125/1000 700/700 [==============================] - 0s 469us/step - loss: 1.3730 - acc: 0.4557 - val_loss: 2.2381 - val_acc: 0.2533 Epoch 126/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3732 - acc: 0.4543 - val_loss: 2.2264 - val_acc: 0.2500 Epoch 127/1000 700/700 [==============================] - 0s 446us/step - loss: 1.3731 - acc: 0.4543 - val_loss: 2.2405 - val_acc: 0.2433 Epoch 128/1000 700/700 [==============================] - 0s 537us/step - loss: 1.3729 - acc: 0.4471 - val_loss: 2.2353 - val_acc: 0.2400 Epoch 129/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3728 - acc: 0.4529 - val_loss: 2.2457 - val_acc: 0.2467 Epoch 130/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3725 - acc: 0.4457 - val_loss: 2.2344 - val_acc: 0.2367 Epoch 131/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3724 - acc: 0.4500 - val_loss: 2.2274 - val_acc: 0.2433 Epoch 132/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3720 - acc: 0.4529 - val_loss: 2.2455 - val_acc: 0.2533 Epoch 133/1000 700/700 [==============================] - 0s 435us/step - loss: 1.3718 - acc: 0.4414 - val_loss: 2.2306 - val_acc: 0.2333 Epoch 134/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3725 - acc: 0.4557 - val_loss: 2.2414 - val_acc: 0.2500 Epoch 135/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3712 - acc: 0.4543 - val_loss: 2.2238 - val_acc: 0.2467 Epoch 136/1000 700/700 [==============================] - 0s 445us/step - loss: 1.3723 - acc: 0.4529 - val_loss: 2.2499 - val_acc: 0.2533 Epoch 137/1000 700/700 [==============================] - 0s 542us/step - loss: 1.3711 - acc: 0.4543 - val_loss: 2.2422 - val_acc: 0.2467 Epoch 138/1000 700/700 [==============================] - 0s 466us/step - loss: 1.3714 - acc: 0.4514 - val_loss: 2.2305 - val_acc: 0.2333 Epoch 139/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3711 - acc: 0.4557 - val_loss: 2.2303 - val_acc: 0.2467 Epoch 140/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3708 - acc: 0.4529 - val_loss: 2.2462 - val_acc: 0.2500 Epoch 141/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3711 - acc: 0.4486 - val_loss: 2.2464 - val_acc: 0.2467 Epoch 142/1000 700/700 [==============================] - 0s 519us/step - loss: 1.3709 - acc: 0.4471 - val_loss: 2.2211 - val_acc: 0.2467 Epoch 143/1000 700/700 [==============================] - 0s 511us/step - loss: 1.3715 - acc: 0.4457 - val_loss: 2.2441 - val_acc: 0.2500 Epoch 144/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3712 - acc: 0.4471 - val_loss: 2.2392 - val_acc: 0.2400 Epoch 145/1000 700/700 [==============================] - 0s 526us/step - loss: 1.3705 - acc: 0.4500 - val_loss: 2.2363 - val_acc: 0.2367 Epoch 146/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3701 - acc: 0.4429 - val_loss: 2.2374 - val_acc: 0.2333 Epoch 147/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3710 - acc: 0.4500 - val_loss: 2.2501 - val_acc: 0.2367 Epoch 148/1000 700/700 [==============================] - 0s 530us/step - loss: 1.3708 - acc: 0.4514 - val_loss: 2.2579 - val_acc: 0.2500 Epoch 149/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3711 - acc: 0.4486 - val_loss: 2.2323 - val_acc: 0.2433 Epoch 150/1000 700/700 [==============================] - 0s 520us/step - loss: 1.3710 - acc: 0.4471 - val_loss: 2.2367 - val_acc: 0.2467 Epoch 151/1000 700/700 [==============================] - 0s 531us/step - loss: 1.3707 - acc: 0.4486 - val_loss: 2.2368 - val_acc: 0.2467 Epoch 152/1000 700/700 [==============================] - 0s 527us/step - loss: 1.3701 - acc: 0.4486 - val_loss: 2.2278 - val_acc: 0.2467 Epoch 153/1000 700/700 [==============================] - 0s 526us/step - loss: 1.3711 - acc: 0.4529 - val_loss: 2.2279 - val_acc: 0.2467 Epoch 154/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3707 - acc: 0.4514 - val_loss: 2.2354 - val_acc: 0.2433 Epoch 155/1000 700/700 [==============================] - 0s 513us/step - loss: 1.3697 - acc: 0.4457 - val_loss: 2.2363 - val_acc: 0.2433 Epoch 156/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3707 - acc: 0.4500 - val_loss: 2.2569 - val_acc: 0.2500 Epoch 157/1000 700/700 [==============================] - 0s 521us/step - loss: 1.3692 - acc: 0.4571 - val_loss: 2.2340 - val_acc: 0.2467 Epoch 158/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3697 - acc: 0.4529 - val_loss: 2.2466 - val_acc: 0.2367 Epoch 159/1000 700/700 [==============================] - 0s 568us/step - loss: 1.3700 - acc: 0.4529 - val_loss: 2.2429 - val_acc: 0.2467 Epoch 160/1000 700/700 [==============================] - 0s 527us/step - loss: 1.3698 - acc: 0.4529 - val_loss: 2.2509 - val_acc: 0.2500 Epoch 161/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3704 - acc: 0.4529 - val_loss: 2.2461 - val_acc: 0.2433 Epoch 162/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3691 - acc: 0.4557 - val_loss: 2.2382 - val_acc: 0.2433 Epoch 163/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3696 - acc: 0.4529 - val_loss: 2.2434 - val_acc: 0.2433 Epoch 164/1000 700/700 [==============================] - 0s 577us/step - loss: 1.3691 - acc: 0.4529 - val_loss: 2.2576 - val_acc: 0.2467 Epoch 165/1000 700/700 [==============================] - 0s 588us/step - loss: 1.3687 - acc: 0.4543 - val_loss: 2.2454 - val_acc: 0.2433 Epoch 166/1000 700/700 [==============================] - 0s 430us/step - loss: 1.3686 - acc: 0.4529 - val_loss: 2.2370 - val_acc: 0.2333 Epoch 167/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3677 - acc: 0.4600 - val_loss: 2.2689 - val_acc: 0.2533 Epoch 168/1000 700/700 [==============================] - 0s 462us/step - loss: 1.3674 - acc: 0.4514 - val_loss: 2.2379 - val_acc: 0.2500 Epoch 169/1000 700/700 [==============================] - 0s 432us/step - loss: 1.3683 - acc: 0.4586 - val_loss: 2.2538 - val_acc: 0.2333 Epoch 170/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3679 - acc: 0.4586 - val_loss: 2.2380 - val_acc: 0.2433 Epoch 171/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3694 - acc: 0.4543 - val_loss: 2.2291 - val_acc: 0.2433 Epoch 172/1000 700/700 [==============================] - 0s 442us/step - loss: 1.3678 - acc: 0.4543 - val_loss: 2.2573 - val_acc: 0.2367 Epoch 173/1000 700/700 [==============================] - 0s 491us/step - loss: 1.3683 - acc: 0.4529 - val_loss: 2.2568 - val_acc: 0.2467 Epoch 174/1000 700/700 [==============================] - 0s 513us/step - loss: 1.3678 - acc: 0.4486 - val_loss: 2.2374 - val_acc: 0.2433 Epoch 175/1000 700/700 [==============================] - 0s 441us/step - loss: 1.3680 - acc: 0.4557 - val_loss: 2.2469 - val_acc: 0.2500 Epoch 176/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3683 - acc: 0.4543 - val_loss: 2.2369 - val_acc: 0.2433 Epoch 177/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3674 - acc: 0.4529 - val_loss: 2.2372 - val_acc: 0.2300 Epoch 178/1000 700/700 [==============================] - 0s 444us/step - loss: 1.3677 - acc: 0.4514 - val_loss: 2.2425 - val_acc: 0.2333 Epoch 179/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3669 - acc: 0.4514 - val_loss: 2.2549 - val_acc: 0.2467 Epoch 180/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3662 - acc: 0.4486 - val_loss: 2.2444 - val_acc: 0.2300 Epoch 181/1000 700/700 [==============================] - 0s 470us/step - loss: 1.3667 - acc: 0.4529 - val_loss: 2.2496 - val_acc: 0.2267 Epoch 182/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3673 - acc: 0.4529 - val_loss: 2.2572 - val_acc: 0.2500 Epoch 183/1000 700/700 [==============================] - 0s 468us/step - loss: 1.3674 - acc: 0.4529 - val_loss: 2.2608 - val_acc: 0.2500 Epoch 184/1000 700/700 [==============================] - 0s 433us/step - loss: 1.3679 - acc: 0.4500 - val_loss: 2.2706 - val_acc: 0.2500 Epoch 185/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3677 - acc: 0.4514 - val_loss: 2.2551 - val_acc: 0.2433 Epoch 186/1000 700/700 [==============================] - 0s 462us/step - loss: 1.3672 - acc: 0.4514 - val_loss: 2.2591 - val_acc: 0.2467 Epoch 187/1000 700/700 [==============================] - 0s 464us/step - loss: 1.3662 - acc: 0.4543 - val_loss: 2.2441 - val_acc: 0.2300 Epoch 188/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3667 - acc: 0.4514 - val_loss: 2.2546 - val_acc: 0.2467 Epoch 189/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3665 - acc: 0.4471 - val_loss: 2.2630 - val_acc: 0.2467 Epoch 190/1000 700/700 [==============================] - 0s 461us/step - loss: 1.3663 - acc: 0.4500 - val_loss: 2.2546 - val_acc: 0.2433 Epoch 191/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3657 - acc: 0.4543 - val_loss: 2.2528 - val_acc: 0.2433 Epoch 192/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3667 - acc: 0.4543 - val_loss: 2.2365 - val_acc: 0.2333 Epoch 193/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3665 - acc: 0.4543 - val_loss: 2.2504 - val_acc: 0.2400 Epoch 194/1000 700/700 [==============================] - 0s 519us/step - loss: 1.3663 - acc: 0.4614 - val_loss: 2.2560 - val_acc: 0.2433 Epoch 195/1000 700/700 [==============================] - 0s 478us/step - loss: 1.3656 - acc: 0.4500 - val_loss: 2.2614 - val_acc: 0.2433 Epoch 196/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3667 - acc: 0.4514 - val_loss: 2.2406 - val_acc: 0.2433 Epoch 197/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3654 - acc: 0.4557 - val_loss: 2.2657 - val_acc: 0.2467 Epoch 198/1000 700/700 [==============================] - 0s 447us/step - loss: 1.3661 - acc: 0.4557 - val_loss: 2.2610 - val_acc: 0.2467 Epoch 199/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3660 - acc: 0.4543 - val_loss: 2.2528 - val_acc: 0.2433 Epoch 200/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3655 - acc: 0.4557 - val_loss: 2.2576 - val_acc: 0.2467 Epoch 201/1000 700/700 [==============================] - 0s 449us/step - loss: 1.3654 - acc: 0.4486 - val_loss: 2.2589 - val_acc: 0.2433 Epoch 202/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3647 - acc: 0.4571 - val_loss: 2.2459 - val_acc: 0.2467 Epoch 203/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3653 - acc: 0.4557 - val_loss: 2.2696 - val_acc: 0.2467 Epoch 204/1000 700/700 [==============================] - 0s 447us/step - loss: 1.3644 - acc: 0.4571 - val_loss: 2.2419 - val_acc: 0.2433 Epoch 205/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3650 - acc: 0.4557 - val_loss: 2.2508 - val_acc: 0.2333 Epoch 206/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3654 - acc: 0.4557 - val_loss: 2.2610 - val_acc: 0.2467 Epoch 207/1000 700/700 [==============================] - 0s 444us/step - loss: 1.3637 - acc: 0.4571 - val_loss: 2.2475 - val_acc: 0.2467 Epoch 208/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3641 - acc: 0.4471 - val_loss: 2.2478 - val_acc: 0.2467 Epoch 209/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3652 - acc: 0.4543 - val_loss: 2.2533 - val_acc: 0.2333 Epoch 210/1000 700/700 [==============================] - 0s 454us/step - loss: 1.3645 - acc: 0.4471 - val_loss: 2.2636 - val_acc: 0.2267 Epoch 211/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3646 - acc: 0.4571 - val_loss: 2.2390 - val_acc: 0.2467 Epoch 212/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3632 - acc: 0.4614 - val_loss: 2.2650 - val_acc: 0.2467 Epoch 213/1000 700/700 [==============================] - 0s 456us/step - loss: 1.3639 - acc: 0.4600 - val_loss: 2.2538 - val_acc: 0.2467 Epoch 214/1000 700/700 [==============================] - 0s 478us/step - loss: 1.3632 - acc: 0.4486 - val_loss: 2.2526 - val_acc: 0.2333 Epoch 215/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3635 - acc: 0.4571 - val_loss: 2.2495 - val_acc: 0.2467 Epoch 216/1000 700/700 [==============================] - 0s 447us/step - loss: 1.3636 - acc: 0.4657 - val_loss: 2.2547 - val_acc: 0.2433 Epoch 217/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3635 - acc: 0.4586 - val_loss: 2.2403 - val_acc: 0.2400 Epoch 218/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3632 - acc: 0.4629 - val_loss: 2.2516 - val_acc: 0.2433 Epoch 219/1000 700/700 [==============================] - 0s 449us/step - loss: 1.3634 - acc: 0.4557 - val_loss: 2.2635 - val_acc: 0.2500 Epoch 220/1000 700/700 [==============================] - 0s 518us/step - loss: 1.3630 - acc: 0.4514 - val_loss: 2.2655 - val_acc: 0.2300 Epoch 221/1000 700/700 [==============================] - 0s 461us/step - loss: 1.3629 - acc: 0.4543 - val_loss: 2.2550 - val_acc: 0.2300 Epoch 222/1000 700/700 [==============================] - 0s 448us/step - loss: 1.3631 - acc: 0.4571 - val_loss: 2.2337 - val_acc: 0.2467 Epoch 223/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3637 - acc: 0.4600 - val_loss: 2.2533 - val_acc: 0.2367 Epoch 224/1000 700/700 [==============================] - 0s 470us/step - loss: 1.3635 - acc: 0.4586 - val_loss: 2.2560 - val_acc: 0.2433 Epoch 225/1000 700/700 [==============================] - 0s 464us/step - loss: 1.3626 - acc: 0.4571 - val_loss: 2.2602 - val_acc: 0.2267 Epoch 226/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3630 - acc: 0.4586 - val_loss: 2.2601 - val_acc: 0.2467 Epoch 227/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3635 - acc: 0.4614 - val_loss: 2.2628 - val_acc: 0.2367 Epoch 228/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3638 - acc: 0.4657 - val_loss: 2.2591 - val_acc: 0.2433 Epoch 229/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3625 - acc: 0.4557 - val_loss: 2.2555 - val_acc: 0.2433 Epoch 230/1000 700/700 [==============================] - 0s 466us/step - loss: 1.3626 - acc: 0.4586 - val_loss: 2.2660 - val_acc: 0.2467 Epoch 231/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3614 - acc: 0.4614 - val_loss: 2.2713 - val_acc: 0.2467 Epoch 232/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3624 - acc: 0.4500 - val_loss: 2.2617 - val_acc: 0.2433 Epoch 233/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3619 - acc: 0.4543 - val_loss: 2.2609 - val_acc: 0.2400 Epoch 234/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3613 - acc: 0.4643 - val_loss: 2.2506 - val_acc: 0.2267 Epoch 235/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3615 - acc: 0.4629 - val_loss: 2.2713 - val_acc: 0.2433 Epoch 236/1000 700/700 [==============================] - 0s 481us/step - loss: 1.3619 - acc: 0.4586 - val_loss: 2.2534 - val_acc: 0.2433 Epoch 237/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3611 - acc: 0.4629 - val_loss: 2.2674 - val_acc: 0.2467 Epoch 238/1000 700/700 [==============================] - 0s 488us/step - loss: 1.3612 - acc: 0.4514 - val_loss: 2.2558 - val_acc: 0.2267 Epoch 239/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3612 - acc: 0.4571 - val_loss: 2.2677 - val_acc: 0.2467 Epoch 240/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3616 - acc: 0.4586 - val_loss: 2.2588 - val_acc: 0.2367 Epoch 241/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3612 - acc: 0.4600 - val_loss: 2.2461 - val_acc: 0.2467 Epoch 242/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3614 - acc: 0.4557 - val_loss: 2.2667 - val_acc: 0.2467 Epoch 243/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3611 - acc: 0.4543 - val_loss: 2.2414 - val_acc: 0.2433 Epoch 244/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3616 - acc: 0.4571 - val_loss: 2.2645 - val_acc: 0.2433 Epoch 245/1000 700/700 [==============================] - 0s 445us/step - loss: 1.3599 - acc: 0.4571 - val_loss: 2.2655 - val_acc: 0.2467 Epoch 246/1000 700/700 [==============================] - 0s 516us/step - loss: 1.3610 - acc: 0.4586 - val_loss: 2.2463 - val_acc: 0.2333 Epoch 247/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3605 - acc: 0.4600 - val_loss: 2.2788 - val_acc: 0.2400 Epoch 248/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3607 - acc: 0.4600 - val_loss: 2.2582 - val_acc: 0.2467 Epoch 249/1000 700/700 [==============================] - 0s 524us/step - loss: 1.3613 - acc: 0.4614 - val_loss: 2.2672 - val_acc: 0.2300 Epoch 250/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3600 - acc: 0.4571 - val_loss: 2.2623 - val_acc: 0.2433 Epoch 251/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3615 - acc: 0.4500 - val_loss: 2.2539 - val_acc: 0.2433 Epoch 252/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3603 - acc: 0.4586 - val_loss: 2.2698 - val_acc: 0.2467 Epoch 253/1000 700/700 [==============================] - 0s 473us/step - loss: 1.3605 - acc: 0.4643 - val_loss: 2.2620 - val_acc: 0.2267 Epoch 254/1000 700/700 [==============================] - 0s 644us/step - loss: 1.3590 - acc: 0.4600 - val_loss: 2.2750 - val_acc: 0.2500 Epoch 255/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3588 - acc: 0.4471 - val_loss: 2.2676 - val_acc: 0.2367 Epoch 256/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3589 - acc: 0.4586 - val_loss: 2.2769 - val_acc: 0.2467 Epoch 257/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3604 - acc: 0.4614 - val_loss: 2.2672 - val_acc: 0.2467 Epoch 258/1000 700/700 [==============================] - 0s 470us/step - loss: 1.3596 - acc: 0.4586 - val_loss: 2.2674 - val_acc: 0.2433 Epoch 259/1000 700/700 [==============================] - 0s 446us/step - loss: 1.3595 - acc: 0.4614 - val_loss: 2.2704 - val_acc: 0.2433 Epoch 260/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3595 - acc: 0.4586 - val_loss: 2.2737 - val_acc: 0.2467 Epoch 261/1000 700/700 [==============================] - 0s 472us/step - loss: 1.3592 - acc: 0.4629 - val_loss: 2.2485 - val_acc: 0.2467 Epoch 262/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3591 - acc: 0.4643 - val_loss: 2.2716 - val_acc: 0.2467 Epoch 263/1000 700/700 [==============================] - 0s 517us/step - loss: 1.3593 - acc: 0.4614 - val_loss: 2.2479 - val_acc: 0.2500 Epoch 264/1000 700/700 [==============================] - 0s 464us/step - loss: 1.3596 - acc: 0.4529 - val_loss: 2.2460 - val_acc: 0.2467 Epoch 265/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3600 - acc: 0.4629 - val_loss: 2.2611 - val_acc: 0.2433 Epoch 266/1000 700/700 [==============================] - 0s 508us/step - loss: 1.3594 - acc: 0.4614 - val_loss: 2.2725 - val_acc: 0.2467 Epoch 267/1000 700/700 [==============================] - 0s 475us/step - loss: 1.3581 - acc: 0.4543 - val_loss: 2.2605 - val_acc: 0.2433 Epoch 268/1000 700/700 [==============================] - 0s 463us/step - loss: 1.3588 - acc: 0.4586 - val_loss: 2.2869 - val_acc: 0.2500 Epoch 269/1000 700/700 [==============================] - 0s 561us/step - loss: 1.3594 - acc: 0.4600 - val_loss: 2.2452 - val_acc: 0.2467 Epoch 270/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3588 - acc: 0.4557 - val_loss: 2.2671 - val_acc: 0.2467 Epoch 271/1000 700/700 [==============================] - 0s 511us/step - loss: 1.3583 - acc: 0.4557 - val_loss: 2.2593 - val_acc: 0.2433 Epoch 272/1000 700/700 [==============================] - 0s 521us/step - loss: 1.3582 - acc: 0.4643 - val_loss: 2.2765 - val_acc: 0.2367 Epoch 273/1000 700/700 [==============================] - 0s 593us/step - loss: 1.3585 - acc: 0.4686 - val_loss: 2.2717 - val_acc: 0.2433 Epoch 274/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3580 - acc: 0.4686 - val_loss: 2.2919 - val_acc: 0.2500 Epoch 275/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3589 - acc: 0.4600 - val_loss: 2.2731 - val_acc: 0.2467 Epoch 276/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3583 - acc: 0.4629 - val_loss: 2.2544 - val_acc: 0.2433 Epoch 277/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3582 - acc: 0.4671 - val_loss: 2.2755 - val_acc: 0.2433 Epoch 278/1000 700/700 [==============================] - 0s 467us/step - loss: 1.3583 - acc: 0.4514 - val_loss: 2.2600 - val_acc: 0.2433 Epoch 279/1000 700/700 [==============================] - 0s 460us/step - loss: 1.3577 - acc: 0.4600 - val_loss: 2.2763 - val_acc: 0.2533 Epoch 280/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3566 - acc: 0.4671 - val_loss: 2.2451 - val_acc: 0.2400 Epoch 281/1000 700/700 [==============================] - 0s 449us/step - loss: 1.3570 - acc: 0.4629 - val_loss: 2.2628 - val_acc: 0.2433 Epoch 282/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3576 - acc: 0.4600 - val_loss: 2.2767 - val_acc: 0.2467 Epoch 283/1000 700/700 [==============================] - 0s 540us/step - loss: 1.3574 - acc: 0.4600 - val_loss: 2.2682 - val_acc: 0.2467 Epoch 284/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3571 - acc: 0.4643 - val_loss: 2.2784 - val_acc: 0.2467 Epoch 285/1000 700/700 [==============================] - 0s 532us/step - loss: 1.3572 - acc: 0.4657 - val_loss: 2.2809 - val_acc: 0.2367 Epoch 286/1000 700/700 [==============================] - 0s 466us/step - loss: 1.3568 - acc: 0.4686 - val_loss: 2.2800 - val_acc: 0.2500 Epoch 287/1000 700/700 [==============================] - 0s 472us/step - loss: 1.3567 - acc: 0.4529 - val_loss: 2.2746 - val_acc: 0.2300 Epoch 288/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3564 - acc: 0.4586 - val_loss: 2.2497 - val_acc: 0.2467 Epoch 289/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3568 - acc: 0.4657 - val_loss: 2.2677 - val_acc: 0.2433 Epoch 290/1000 700/700 [==============================] - 0s 471us/step - loss: 1.3569 - acc: 0.4657 - val_loss: 2.2566 - val_acc: 0.2467 Epoch 291/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3563 - acc: 0.4586 - val_loss: 2.2892 - val_acc: 0.2333 Epoch 292/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3571 - acc: 0.4643 - val_loss: 2.2855 - val_acc: 0.2433 Epoch 293/1000 700/700 [==============================] - 0s 495us/step - loss: 1.3568 - acc: 0.4643 - val_loss: 2.2769 - val_acc: 0.2500 Epoch 294/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3563 - acc: 0.4557 - val_loss: 2.2564 - val_acc: 0.2467 Epoch 295/1000 700/700 [==============================] - 0s 463us/step - loss: 1.3571 - acc: 0.4657 - val_loss: 2.2718 - val_acc: 0.2433 Epoch 296/1000 700/700 [==============================] - 0s 456us/step - loss: 1.3562 - acc: 0.4657 - val_loss: 2.2872 - val_acc: 0.2400 Epoch 297/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3566 - acc: 0.4657 - val_loss: 2.2805 - val_acc: 0.2433 Epoch 298/1000 700/700 [==============================] - 0s 461us/step - loss: 1.3553 - acc: 0.4614 - val_loss: 2.2707 - val_acc: 0.2433 Epoch 299/1000 700/700 [==============================] - 0s 447us/step - loss: 1.3565 - acc: 0.4586 - val_loss: 2.2771 - val_acc: 0.2433 Epoch 300/1000 700/700 [==============================] - 0s 520us/step - loss: 1.3555 - acc: 0.4614 - val_loss: 2.2662 - val_acc: 0.2400 Epoch 301/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3543 - acc: 0.4714 - val_loss: 2.2830 - val_acc: 0.2400 Epoch 302/1000 700/700 [==============================] - 0s 448us/step - loss: 1.3553 - acc: 0.4686 - val_loss: 2.2825 - val_acc: 0.2367 Epoch 303/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3554 - acc: 0.4629 - val_loss: 2.2692 - val_acc: 0.2433 Epoch 304/1000 700/700 [==============================] - 0s 512us/step - loss: 1.3548 - acc: 0.4686 - val_loss: 2.2902 - val_acc: 0.2533 Epoch 305/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3558 - acc: 0.4543 - val_loss: 2.2712 - val_acc: 0.2433 Epoch 306/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3550 - acc: 0.4614 - val_loss: 2.2775 - val_acc: 0.2267 Epoch 307/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3548 - acc: 0.4629 - val_loss: 2.2847 - val_acc: 0.2433 Epoch 308/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3564 - acc: 0.4629 - val_loss: 2.2687 - val_acc: 0.2300 Epoch 309/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3560 - acc: 0.4643 - val_loss: 2.2920 - val_acc: 0.2467 Epoch 310/1000 700/700 [==============================] - 0s 598us/step - loss: 1.3557 - acc: 0.4743 - val_loss: 2.2592 - val_acc: 0.2400 Epoch 311/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3545 - acc: 0.4600 - val_loss: 2.2885 - val_acc: 0.2533 Epoch 312/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3555 - acc: 0.4529 - val_loss: 2.2808 - val_acc: 0.2467 Epoch 313/1000 700/700 [==============================] - 0s 436us/step - loss: 1.3544 - acc: 0.4600 - val_loss: 2.2879 - val_acc: 0.2500 Epoch 314/1000 700/700 [==============================] - 0s 472us/step - loss: 1.3545 - acc: 0.4600 - val_loss: 2.2745 - val_acc: 0.2467 Epoch 315/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3549 - acc: 0.4657 - val_loss: 2.2800 - val_acc: 0.2400 Epoch 316/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3535 - acc: 0.4600 - val_loss: 2.2809 - val_acc: 0.2333 Epoch 317/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3555 - acc: 0.4629 - val_loss: 2.2874 - val_acc: 0.2467 Epoch 318/1000 700/700 [==============================] - 0s 481us/step - loss: 1.3535 - acc: 0.4657 - val_loss: 2.2643 - val_acc: 0.2400 Epoch 319/1000 700/700 [==============================] - 0s 466us/step - loss: 1.3554 - acc: 0.4643 - val_loss: 2.2766 - val_acc: 0.2433 Epoch 320/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3534 - acc: 0.4671 - val_loss: 2.2783 - val_acc: 0.2467 Epoch 321/1000 700/700 [==============================] - 0s 457us/step - loss: 1.3538 - acc: 0.4714 - val_loss: 2.2880 - val_acc: 0.2500 Epoch 322/1000 700/700 [==============================] - 0s 460us/step - loss: 1.3542 - acc: 0.4600 - val_loss: 2.2786 - val_acc: 0.2467 Epoch 323/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3530 - acc: 0.4629 - val_loss: 2.2894 - val_acc: 0.2367 Epoch 324/1000 700/700 [==============================] - 0s 568us/step - loss: 1.3535 - acc: 0.4629 - val_loss: 2.2744 - val_acc: 0.2267 Epoch 325/1000 700/700 [==============================] - 0s 695us/step - loss: 1.3534 - acc: 0.4629 - val_loss: 2.2904 - val_acc: 0.2467 Epoch 326/1000 700/700 [==============================] - 0s 627us/step - loss: 1.3528 - acc: 0.4671 - val_loss: 2.2781 - val_acc: 0.2467 Epoch 327/1000 700/700 [==============================] - 0s 485us/step - loss: 1.3528 - acc: 0.4614 - val_loss: 2.2851 - val_acc: 0.2433 Epoch 328/1000 700/700 [==============================] - 0s 596us/step - loss: 1.3534 - acc: 0.4629 - val_loss: 2.2952 - val_acc: 0.2400 Epoch 329/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3529 - acc: 0.4686 - val_loss: 2.2761 - val_acc: 0.2467 Epoch 330/1000 700/700 [==============================] - 0s 581us/step - loss: 1.3533 - acc: 0.4657 - val_loss: 2.2802 - val_acc: 0.2400 Epoch 331/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3527 - acc: 0.4700 - val_loss: 2.2931 - val_acc: 0.2533 Epoch 332/1000 700/700 [==============================] - 0s 457us/step - loss: 1.3536 - acc: 0.4643 - val_loss: 2.2728 - val_acc: 0.2433 Epoch 333/1000 700/700 [==============================] - 0s 516us/step - loss: 1.3526 - acc: 0.4700 - val_loss: 2.2853 - val_acc: 0.2500 Epoch 334/1000 700/700 [==============================] - 0s 519us/step - loss: 1.3524 - acc: 0.4629 - val_loss: 2.2914 - val_acc: 0.2500 Epoch 335/1000 700/700 [==============================] - 0s 668us/step - loss: 1.3528 - acc: 0.4629 - val_loss: 2.2637 - val_acc: 0.2433 Epoch 336/1000 700/700 [==============================] - 0s 710us/step - loss: 1.3532 - acc: 0.4657 - val_loss: 2.2718 - val_acc: 0.2467 Epoch 337/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3527 - acc: 0.4629 - val_loss: 2.2888 - val_acc: 0.2500 Epoch 338/1000 700/700 [==============================] - 0s 539us/step - loss: 1.3534 - acc: 0.4614 - val_loss: 2.2941 - val_acc: 0.2500 Epoch 339/1000 700/700 [==============================] - 0s 511us/step - loss: 1.3519 - acc: 0.4614 - val_loss: 2.3068 - val_acc: 0.2433 Epoch 340/1000 700/700 [==============================] - 0s 534us/step - loss: 1.3522 - acc: 0.4600 - val_loss: 2.2752 - val_acc: 0.2400 Epoch 341/1000 700/700 [==============================] - 0s 560us/step - loss: 1.3521 - acc: 0.4657 - val_loss: 2.2824 - val_acc: 0.2433 Epoch 342/1000 700/700 [==============================] - 0s 544us/step - loss: 1.3525 - acc: 0.4700 - val_loss: 2.2759 - val_acc: 0.2467 Epoch 343/1000 700/700 [==============================] - 0s 594us/step - loss: 1.3517 - acc: 0.4657 - val_loss: 2.2866 - val_acc: 0.2533 Epoch 344/1000 700/700 [==============================] - 0s 659us/step - loss: 1.3518 - acc: 0.4643 - val_loss: 2.3057 - val_acc: 0.2500 Epoch 345/1000 700/700 [==============================] - 0s 556us/step - loss: 1.3522 - acc: 0.4629 - val_loss: 2.2915 - val_acc: 0.2467 Epoch 346/1000 700/700 [==============================] - 0s 519us/step - loss: 1.3517 - acc: 0.4586 - val_loss: 2.2924 - val_acc: 0.2400 Epoch 347/1000 700/700 [==============================] - 0s 513us/step - loss: 1.3516 - acc: 0.4571 - val_loss: 2.2812 - val_acc: 0.2500 Epoch 348/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3515 - acc: 0.4686 - val_loss: 2.2700 - val_acc: 0.2433 Epoch 349/1000 700/700 [==============================] - 0s 590us/step - loss: 1.3500 - acc: 0.4686 - val_loss: 2.3199 - val_acc: 0.2467 Epoch 350/1000 700/700 [==============================] - 0s 534us/step - loss: 1.3516 - acc: 0.4643 - val_loss: 2.2899 - val_acc: 0.2433 Epoch 351/1000 700/700 [==============================] - 0s 701us/step - loss: 1.3513 - acc: 0.4714 - val_loss: 2.2984 - val_acc: 0.2433 Epoch 352/1000 700/700 [==============================] - 0s 553us/step - loss: 1.3509 - acc: 0.4643 - val_loss: 2.2830 - val_acc: 0.2433 Epoch 353/1000 700/700 [==============================] - 0s 608us/step - loss: 1.3518 - acc: 0.4557 - val_loss: 2.2859 - val_acc: 0.2400 Epoch 354/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3511 - acc: 0.4657 - val_loss: 2.3006 - val_acc: 0.2433 Epoch 355/1000 700/700 [==============================] - 0s 643us/step - loss: 1.3513 - acc: 0.4671 - val_loss: 2.3077 - val_acc: 0.2500 Epoch 356/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3506 - acc: 0.4686 - val_loss: 2.2989 - val_acc: 0.2500 Epoch 357/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3506 - acc: 0.4643 - val_loss: 2.2858 - val_acc: 0.2433 Epoch 358/1000 700/700 [==============================] - 0s 537us/step - loss: 1.3501 - acc: 0.4686 - val_loss: 2.3066 - val_acc: 0.2500 Epoch 359/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3495 - acc: 0.4643 - val_loss: 2.2887 - val_acc: 0.2300 Epoch 360/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3519 - acc: 0.4629 - val_loss: 2.2822 - val_acc: 0.2433 Epoch 361/1000 700/700 [==============================] - 0s 516us/step - loss: 1.3498 - acc: 0.4729 - val_loss: 2.2835 - val_acc: 0.2467 Epoch 362/1000 700/700 [==============================] - 0s 511us/step - loss: 1.3502 - acc: 0.4700 - val_loss: 2.3126 - val_acc: 0.2433 Epoch 363/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3503 - acc: 0.4671 - val_loss: 2.2750 - val_acc: 0.2367 Epoch 364/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3501 - acc: 0.4600 - val_loss: 2.3024 - val_acc: 0.2500 Epoch 365/1000 700/700 [==============================] - 0s 472us/step - loss: 1.3496 - acc: 0.4657 - val_loss: 2.2651 - val_acc: 0.2500 Epoch 366/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3505 - acc: 0.4657 - val_loss: 2.2802 - val_acc: 0.2433 Epoch 367/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3506 - acc: 0.4657 - val_loss: 2.2967 - val_acc: 0.2467 Epoch 368/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3497 - acc: 0.4686 - val_loss: 2.2970 - val_acc: 0.2467 Epoch 369/1000 700/700 [==============================] - 0s 473us/step - loss: 1.3493 - acc: 0.4629 - val_loss: 2.2720 - val_acc: 0.2400 Epoch 370/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3498 - acc: 0.4657 - val_loss: 2.3010 - val_acc: 0.2433 Epoch 371/1000 700/700 [==============================] - 0s 462us/step - loss: 1.3502 - acc: 0.4557 - val_loss: 2.2918 - val_acc: 0.2433 Epoch 372/1000 700/700 [==============================] - 0s 473us/step - loss: 1.3497 - acc: 0.4657 - val_loss: 2.3045 - val_acc: 0.2467 Epoch 373/1000 700/700 [==============================] - 0s 473us/step - loss: 1.3497 - acc: 0.4657 - val_loss: 2.2984 - val_acc: 0.2467 Epoch 374/1000 700/700 [==============================] - 0s 469us/step - loss: 1.3492 - acc: 0.4586 - val_loss: 2.2969 - val_acc: 0.2400 Epoch 375/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3490 - acc: 0.4700 - val_loss: 2.2955 - val_acc: 0.2433 Epoch 376/1000 700/700 [==============================] - 0s 473us/step - loss: 1.3488 - acc: 0.4671 - val_loss: 2.3092 - val_acc: 0.2433 Epoch 377/1000 700/700 [==============================] - 0s 445us/step - loss: 1.3489 - acc: 0.4700 - val_loss: 2.3035 - val_acc: 0.2467 Epoch 378/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3473 - acc: 0.4643 - val_loss: 2.3085 - val_acc: 0.2467 Epoch 379/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3499 - acc: 0.4629 - val_loss: 2.2970 - val_acc: 0.2500 Epoch 380/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3491 - acc: 0.4700 - val_loss: 2.2818 - val_acc: 0.2433 Epoch 381/1000 700/700 [==============================] - 0s 570us/step - loss: 1.3482 - acc: 0.4700 - val_loss: 2.2973 - val_acc: 0.2433 Epoch 382/1000 700/700 [==============================] - 0s 615us/step - loss: 1.3485 - acc: 0.4614 - val_loss: 2.2941 - val_acc: 0.2333 Epoch 383/1000 700/700 [==============================] - 0s 539us/step - loss: 1.3489 - acc: 0.4671 - val_loss: 2.2972 - val_acc: 0.2433 Epoch 384/1000 700/700 [==============================] - 0s 521us/step - loss: 1.3483 - acc: 0.4643 - val_loss: 2.2840 - val_acc: 0.2467 Epoch 385/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3482 - acc: 0.4686 - val_loss: 2.3020 - val_acc: 0.2500 Epoch 386/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3493 - acc: 0.4643 - val_loss: 2.2854 - val_acc: 0.2500 Epoch 387/1000 700/700 [==============================] - 0s 524us/step - loss: 1.3479 - acc: 0.4671 - val_loss: 2.2786 - val_acc: 0.2467 Epoch 388/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3480 - acc: 0.4743 - val_loss: 2.2996 - val_acc: 0.2433 Epoch 389/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3476 - acc: 0.4714 - val_loss: 2.2987 - val_acc: 0.2400 Epoch 390/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3480 - acc: 0.4600 - val_loss: 2.2888 - val_acc: 0.2433 Epoch 391/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3478 - acc: 0.4671 - val_loss: 2.2961 - val_acc: 0.2433 Epoch 392/1000 700/700 [==============================] - 0s 516us/step - loss: 1.3474 - acc: 0.4714 - val_loss: 2.3061 - val_acc: 0.2467 Epoch 393/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3476 - acc: 0.4657 - val_loss: 2.2946 - val_acc: 0.2467 Epoch 394/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3473 - acc: 0.4657 - val_loss: 2.2801 - val_acc: 0.2433 Epoch 395/1000 700/700 [==============================] - 0s 516us/step - loss: 1.3471 - acc: 0.4700 - val_loss: 2.3143 - val_acc: 0.2433 Epoch 396/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3470 - acc: 0.4671 - val_loss: 2.2959 - val_acc: 0.2400 Epoch 397/1000 700/700 [==============================] - 0s 526us/step - loss: 1.3478 - acc: 0.4671 - val_loss: 2.2888 - val_acc: 0.2433 Epoch 398/1000 700/700 [==============================] - 0s 536us/step - loss: 1.3477 - acc: 0.4643 - val_loss: 2.2859 - val_acc: 0.2433 Epoch 399/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3470 - acc: 0.4614 - val_loss: 2.2974 - val_acc: 0.2467 Epoch 400/1000 700/700 [==============================] - 0s 526us/step - loss: 1.3470 - acc: 0.4629 - val_loss: 2.3057 - val_acc: 0.2433 Epoch 401/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3468 - acc: 0.4671 - val_loss: 2.2736 - val_acc: 0.2433 Epoch 402/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3471 - acc: 0.4686 - val_loss: 2.2781 - val_acc: 0.2433 Epoch 403/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3470 - acc: 0.4700 - val_loss: 2.3161 - val_acc: 0.2500 Epoch 404/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3466 - acc: 0.4643 - val_loss: 2.3124 - val_acc: 0.2433 Epoch 405/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3463 - acc: 0.4714 - val_loss: 2.2756 - val_acc: 0.2433 Epoch 406/1000 700/700 [==============================] - 0s 523us/step - loss: 1.3465 - acc: 0.4657 - val_loss: 2.3171 - val_acc: 0.2467 Epoch 407/1000 700/700 [==============================] - 0s 452us/step - loss: 1.3462 - acc: 0.4657 - val_loss: 2.3168 - val_acc: 0.2500 Epoch 408/1000 700/700 [==============================] - 0s 470us/step - loss: 1.3460 - acc: 0.4629 - val_loss: 2.2942 - val_acc: 0.2433 Epoch 409/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3464 - acc: 0.4700 - val_loss: 2.3040 - val_acc: 0.2500 Epoch 410/1000 700/700 [==============================] - 0s 466us/step - loss: 1.3458 - acc: 0.4657 - val_loss: 2.3131 - val_acc: 0.2500 Epoch 411/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3470 - acc: 0.4686 - val_loss: 2.2988 - val_acc: 0.2500 Epoch 412/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3466 - acc: 0.4729 - val_loss: 2.3066 - val_acc: 0.2433 Epoch 413/1000 700/700 [==============================] - 0s 472us/step - loss: 1.3458 - acc: 0.4629 - val_loss: 2.2962 - val_acc: 0.2400 Epoch 414/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3463 - acc: 0.4629 - val_loss: 2.2999 - val_acc: 0.2433 Epoch 415/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3452 - acc: 0.4714 - val_loss: 2.3043 - val_acc: 0.2467 Epoch 416/1000 700/700 [==============================] - 0s 459us/step - loss: 1.3460 - acc: 0.4657 - val_loss: 2.3100 - val_acc: 0.2433 Epoch 417/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3457 - acc: 0.4671 - val_loss: 2.2966 - val_acc: 0.2433 Epoch 418/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3460 - acc: 0.4643 - val_loss: 2.3231 - val_acc: 0.2467 Epoch 419/1000 700/700 [==============================] - 0s 435us/step - loss: 1.3457 - acc: 0.4614 - val_loss: 2.2902 - val_acc: 0.2400 Epoch 420/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3450 - acc: 0.4743 - val_loss: 2.3115 - val_acc: 0.2500 Epoch 421/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3458 - acc: 0.4600 - val_loss: 2.3000 - val_acc: 0.2433 Epoch 422/1000 700/700 [==============================] - 0s 473us/step - loss: 1.3451 - acc: 0.4700 - val_loss: 2.3168 - val_acc: 0.2433 Epoch 423/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3454 - acc: 0.4671 - val_loss: 2.2989 - val_acc: 0.2533 Epoch 424/1000 700/700 [==============================] - 0s 524us/step - loss: 1.3441 - acc: 0.4671 - val_loss: 2.3156 - val_acc: 0.2467 Epoch 425/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3448 - acc: 0.4657 - val_loss: 2.2975 - val_acc: 0.2467 Epoch 426/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3450 - acc: 0.4743 - val_loss: 2.3077 - val_acc: 0.2467 Epoch 427/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3432 - acc: 0.4643 - val_loss: 2.3262 - val_acc: 0.2467 Epoch 428/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3447 - acc: 0.4700 - val_loss: 2.3027 - val_acc: 0.2467 Epoch 429/1000 700/700 [==============================] - 0s 511us/step - loss: 1.3447 - acc: 0.4714 - val_loss: 2.3171 - val_acc: 0.2467 Epoch 430/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3447 - acc: 0.4643 - val_loss: 2.3110 - val_acc: 0.2467 Epoch 431/1000 700/700 [==============================] - 0s 462us/step - loss: 1.3444 - acc: 0.4657 - val_loss: 2.2991 - val_acc: 0.2333 Epoch 432/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3447 - acc: 0.4686 - val_loss: 2.3024 - val_acc: 0.2433 Epoch 433/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3446 - acc: 0.4786 - val_loss: 2.2984 - val_acc: 0.2433 Epoch 434/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3445 - acc: 0.4671 - val_loss: 2.3049 - val_acc: 0.2433 Epoch 435/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3440 - acc: 0.4686 - val_loss: 2.2875 - val_acc: 0.2433 Epoch 436/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3445 - acc: 0.4743 - val_loss: 2.3228 - val_acc: 0.2467 Epoch 437/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3439 - acc: 0.4757 - val_loss: 2.2980 - val_acc: 0.2467 Epoch 438/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3432 - acc: 0.4657 - val_loss: 2.2979 - val_acc: 0.2400 Epoch 439/1000 700/700 [==============================] - 0s 456us/step - loss: 1.3449 - acc: 0.4700 - val_loss: 2.3139 - val_acc: 0.2433 Epoch 440/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3434 - acc: 0.4671 - val_loss: 2.3196 - val_acc: 0.2467 Epoch 441/1000 700/700 [==============================] - 0s 516us/step - loss: 1.3439 - acc: 0.4757 - val_loss: 2.3082 - val_acc: 0.2500 Epoch 442/1000 700/700 [==============================] - 0s 460us/step - loss: 1.3437 - acc: 0.4700 - val_loss: 2.3035 - val_acc: 0.2400 Epoch 443/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3438 - acc: 0.4743 - val_loss: 2.3156 - val_acc: 0.2500 Epoch 444/1000 700/700 [==============================] - 0s 536us/step - loss: 1.3426 - acc: 0.4757 - val_loss: 2.3314 - val_acc: 0.2433 Epoch 445/1000 700/700 [==============================] - 0s 472us/step - loss: 1.3448 - acc: 0.4657 - val_loss: 2.2931 - val_acc: 0.2467 Epoch 446/1000 700/700 [==============================] - 0s 472us/step - loss: 1.3432 - acc: 0.4714 - val_loss: 2.3142 - val_acc: 0.2433 Epoch 447/1000 700/700 [==============================] - 0s 467us/step - loss: 1.3434 - acc: 0.4657 - val_loss: 2.3051 - val_acc: 0.2400 Epoch 448/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3426 - acc: 0.4657 - val_loss: 2.3196 - val_acc: 0.2467 Epoch 449/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3403 - acc: 0.4657 - val_loss: 2.3083 - val_acc: 0.2367 Epoch 450/1000 700/700 [==============================] - 0s 472us/step - loss: 1.3427 - acc: 0.4671 - val_loss: 2.3022 - val_acc: 0.2433 Epoch 451/1000 700/700 [==============================] - 0s 457us/step - loss: 1.3424 - acc: 0.4700 - val_loss: 2.2976 - val_acc: 0.2433 Epoch 452/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3440 - acc: 0.4671 - val_loss: 2.3051 - val_acc: 0.2500 Epoch 453/1000 700/700 [==============================] - 0s 466us/step - loss: 1.3420 - acc: 0.4700 - val_loss: 2.3070 - val_acc: 0.2433 Epoch 454/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3426 - acc: 0.4657 - val_loss: 2.3072 - val_acc: 0.2367 Epoch 455/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3387 - acc: 0.4714 - val_loss: 2.3094 - val_acc: 0.2500 Epoch 456/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3427 - acc: 0.4714 - val_loss: 2.3116 - val_acc: 0.2433 Epoch 457/1000 700/700 [==============================] - 0s 456us/step - loss: 1.3431 - acc: 0.4757 - val_loss: 2.3150 - val_acc: 0.2433 Epoch 458/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3423 - acc: 0.4643 - val_loss: 2.3166 - val_acc: 0.2433 Epoch 459/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3422 - acc: 0.4686 - val_loss: 2.3045 - val_acc: 0.2433 Epoch 460/1000 700/700 [==============================] - 0s 447us/step - loss: 1.3417 - acc: 0.4700 - val_loss: 2.3177 - val_acc: 0.2367 Epoch 461/1000 700/700 [==============================] - 0s 566us/step - loss: 1.3413 - acc: 0.4700 - val_loss: 2.3416 - val_acc: 0.2467 Epoch 462/1000 700/700 [==============================] - 0s 651us/step - loss: 1.3414 - acc: 0.4629 - val_loss: 2.3022 - val_acc: 0.2333 Epoch 463/1000 700/700 [==============================] - 0s 604us/step - loss: 1.3419 - acc: 0.4686 - val_loss: 2.3191 - val_acc: 0.2400 Epoch 464/1000 700/700 [==============================] - 0s 560us/step - loss: 1.3420 - acc: 0.4686 - val_loss: 2.3117 - val_acc: 0.2433 Epoch 465/1000 700/700 [==============================] - 0s 608us/step - loss: 1.3419 - acc: 0.4700 - val_loss: 2.3032 - val_acc: 0.2467 Epoch 466/1000 700/700 [==============================] - 0s 596us/step - loss: 1.3411 - acc: 0.4757 - val_loss: 2.3234 - val_acc: 0.2433 Epoch 467/1000 700/700 [==============================] - 0s 580us/step - loss: 1.3415 - acc: 0.4657 - val_loss: 2.3107 - val_acc: 0.2400 Epoch 468/1000 700/700 [==============================] - 0s 571us/step - loss: 1.3415 - acc: 0.4714 - val_loss: 2.2970 - val_acc: 0.2433 Epoch 469/1000 700/700 [==============================] - 0s 549us/step - loss: 1.3407 - acc: 0.4757 - val_loss: 2.3282 - val_acc: 0.2433 Epoch 470/1000 700/700 [==============================] - 0s 578us/step - loss: 1.3412 - acc: 0.4671 - val_loss: 2.3071 - val_acc: 0.2433 Epoch 471/1000 700/700 [==============================] - 0s 600us/step - loss: 1.3418 - acc: 0.4743 - val_loss: 2.3335 - val_acc: 0.2533 Epoch 472/1000 700/700 [==============================] - 0s 593us/step - loss: 1.3418 - acc: 0.4700 - val_loss: 2.3305 - val_acc: 0.2500 Epoch 473/1000 700/700 [==============================] - 0s 571us/step - loss: 1.3418 - acc: 0.4729 - val_loss: 2.3231 - val_acc: 0.2433 Epoch 474/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3410 - acc: 0.4700 - val_loss: 2.3346 - val_acc: 0.2433 Epoch 475/1000 700/700 [==============================] - 0s 513us/step - loss: 1.3406 - acc: 0.4671 - val_loss: 2.3194 - val_acc: 0.2500 Epoch 476/1000 700/700 [==============================] - 0s 614us/step - loss: 1.3409 - acc: 0.4686 - val_loss: 2.3190 - val_acc: 0.2433 Epoch 477/1000 700/700 [==============================] - 0s 594us/step - loss: 1.3406 - acc: 0.4771 - val_loss: 2.3169 - val_acc: 0.2467 Epoch 478/1000 700/700 [==============================] - 0s 608us/step - loss: 1.3402 - acc: 0.4729 - val_loss: 2.3128 - val_acc: 0.2467 Epoch 479/1000 700/700 [==============================] - 0s 527us/step - loss: 1.3396 - acc: 0.4657 - val_loss: 2.3071 - val_acc: 0.2333 Epoch 480/1000 700/700 [==============================] - 0s 623us/step - loss: 1.3403 - acc: 0.4686 - val_loss: 2.3180 - val_acc: 0.2467 Epoch 481/1000 700/700 [==============================] - 0s 516us/step - loss: 1.3385 - acc: 0.4686 - val_loss: 2.3193 - val_acc: 0.2467 Epoch 482/1000 700/700 [==============================] - 0s 564us/step - loss: 1.3404 - acc: 0.4657 - val_loss: 2.3208 - val_acc: 0.2467 Epoch 483/1000 700/700 [==============================] - 0s 527us/step - loss: 1.3399 - acc: 0.4729 - val_loss: 2.3343 - val_acc: 0.2400 Epoch 484/1000 700/700 [==============================] - 0s 559us/step - loss: 1.3405 - acc: 0.4729 - val_loss: 2.3199 - val_acc: 0.2467 Epoch 485/1000 700/700 [==============================] - 0s 543us/step - loss: 1.3398 - acc: 0.4671 - val_loss: 2.3313 - val_acc: 0.2367 Epoch 486/1000 700/700 [==============================] - 0s 511us/step - loss: 1.3403 - acc: 0.4671 - val_loss: 2.3215 - val_acc: 0.2433 Epoch 487/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3414 - acc: 0.4686 - val_loss: 2.3310 - val_acc: 0.2467 Epoch 488/1000 700/700 [==============================] - 0s 538us/step - loss: 1.3398 - acc: 0.4700 - val_loss: 2.3187 - val_acc: 0.2500 Epoch 489/1000 700/700 [==============================] - 0s 511us/step - loss: 1.3400 - acc: 0.4757 - val_loss: 2.3195 - val_acc: 0.2467 Epoch 490/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3397 - acc: 0.4757 - val_loss: 2.3165 - val_acc: 0.2433 Epoch 491/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3400 - acc: 0.4714 - val_loss: 2.3382 - val_acc: 0.2367 Epoch 492/1000 700/700 [==============================] - 0s 534us/step - loss: 1.3395 - acc: 0.4686 - val_loss: 2.3288 - val_acc: 0.2433 Epoch 493/1000 700/700 [==============================] - 0s 512us/step - loss: 1.3395 - acc: 0.4700 - val_loss: 2.3283 - val_acc: 0.2467 Epoch 494/1000 700/700 [==============================] - 0s 529us/step - loss: 1.3396 - acc: 0.4700 - val_loss: 2.3332 - val_acc: 0.2433 Epoch 495/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3387 - acc: 0.4729 - val_loss: 2.3209 - val_acc: 0.2467 Epoch 496/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3387 - acc: 0.4729 - val_loss: 2.3192 - val_acc: 0.2467 Epoch 497/1000 700/700 [==============================] - 0s 518us/step - loss: 1.3395 - acc: 0.4757 - val_loss: 2.3386 - val_acc: 0.2500 Epoch 498/1000 700/700 [==============================] - 0s 530us/step - loss: 1.3379 - acc: 0.4686 - val_loss: 2.3293 - val_acc: 0.2400 Epoch 499/1000 700/700 [==============================] - 0s 532us/step - loss: 1.3394 - acc: 0.4757 - val_loss: 2.3034 - val_acc: 0.2533 Epoch 500/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3392 - acc: 0.4714 - val_loss: 2.3285 - val_acc: 0.2400 Epoch 501/1000 700/700 [==============================] - 0s 501us/step - loss: 1.3389 - acc: 0.4671 - val_loss: 2.3242 - val_acc: 0.2467 Epoch 502/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3385 - acc: 0.4657 - val_loss: 2.3328 - val_acc: 0.2467 Epoch 503/1000 700/700 [==============================] - 0s 517us/step - loss: 1.3384 - acc: 0.4771 - val_loss: 2.3465 - val_acc: 0.2467 Epoch 504/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3384 - acc: 0.4714 - val_loss: 2.3257 - val_acc: 0.2433 Epoch 505/1000 700/700 [==============================] - 0s 549us/step - loss: 1.3391 - acc: 0.4729 - val_loss: 2.3296 - val_acc: 0.2400 Epoch 506/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3378 - acc: 0.4743 - val_loss: 2.3429 - val_acc: 0.2467 Epoch 507/1000 700/700 [==============================] - 0s 521us/step - loss: 1.3388 - acc: 0.4757 - val_loss: 2.3404 - val_acc: 0.2400 Epoch 508/1000 700/700 [==============================] - 0s 539us/step - loss: 1.3372 - acc: 0.4800 - val_loss: 2.3414 - val_acc: 0.2400 Epoch 509/1000 700/700 [==============================] - 0s 567us/step - loss: 1.3379 - acc: 0.4757 - val_loss: 2.3288 - val_acc: 0.2467 Epoch 510/1000 700/700 [==============================] - 0s 549us/step - loss: 1.3385 - acc: 0.4729 - val_loss: 2.3326 - val_acc: 0.2467 Epoch 511/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3366 - acc: 0.4757 - val_loss: 2.3226 - val_acc: 0.2367 Epoch 512/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3377 - acc: 0.4700 - val_loss: 2.3102 - val_acc: 0.2400 Epoch 513/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3385 - acc: 0.4729 - val_loss: 2.3356 - val_acc: 0.2367 Epoch 514/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3379 - acc: 0.4757 - val_loss: 2.3450 - val_acc: 0.2467 Epoch 515/1000 700/700 [==============================] - 0s 513us/step - loss: 1.3378 - acc: 0.4671 - val_loss: 2.3365 - val_acc: 0.2433 Epoch 516/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3376 - acc: 0.4714 - val_loss: 2.3345 - val_acc: 0.2433 Epoch 517/1000 700/700 [==============================] - 0s 547us/step - loss: 1.3375 - acc: 0.4714 - val_loss: 2.3378 - val_acc: 0.2467 Epoch 518/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3376 - acc: 0.4800 - val_loss: 2.3480 - val_acc: 0.2500 Epoch 519/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3369 - acc: 0.4729 - val_loss: 2.3420 - val_acc: 0.2500 Epoch 520/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3362 - acc: 0.4729 - val_loss: 2.3480 - val_acc: 0.2400 Epoch 521/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3367 - acc: 0.4729 - val_loss: 2.3426 - val_acc: 0.2467 Epoch 522/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3370 - acc: 0.4671 - val_loss: 2.3228 - val_acc: 0.2400 Epoch 523/1000 700/700 [==============================] - 0s 543us/step - loss: 1.3364 - acc: 0.4714 - val_loss: 2.3202 - val_acc: 0.2500 Epoch 524/1000 700/700 [==============================] - 0s 554us/step - loss: 1.3379 - acc: 0.4743 - val_loss: 2.3450 - val_acc: 0.2467 Epoch 525/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3361 - acc: 0.4771 - val_loss: 2.3621 - val_acc: 0.2467 Epoch 526/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3368 - acc: 0.4786 - val_loss: 2.3390 - val_acc: 0.2400 Epoch 527/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3364 - acc: 0.4700 - val_loss: 2.3340 - val_acc: 0.2367 Epoch 528/1000 700/700 [==============================] - 0s 603us/step - loss: 1.3377 - acc: 0.4743 - val_loss: 2.3260 - val_acc: 0.2333 Epoch 529/1000 700/700 [==============================] - 0s 573us/step - loss: 1.3371 - acc: 0.4743 - val_loss: 2.3393 - val_acc: 0.2500 Epoch 530/1000 700/700 [==============================] - 0s 583us/step - loss: 1.3373 - acc: 0.4729 - val_loss: 2.3200 - val_acc: 0.2400 Epoch 531/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3369 - acc: 0.4686 - val_loss: 2.3251 - val_acc: 0.2400 Epoch 532/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3360 - acc: 0.4771 - val_loss: 2.3155 - val_acc: 0.2500 Epoch 533/1000 700/700 [==============================] - 0s 519us/step - loss: 1.3369 - acc: 0.4786 - val_loss: 2.3417 - val_acc: 0.2433 Epoch 534/1000 700/700 [==============================] - 0s 598us/step - loss: 1.3360 - acc: 0.4700 - val_loss: 2.3289 - val_acc: 0.2367 Epoch 535/1000 700/700 [==============================] - 0s 590us/step - loss: 1.3357 - acc: 0.4786 - val_loss: 2.3200 - val_acc: 0.2467 Epoch 536/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3358 - acc: 0.4757 - val_loss: 2.3436 - val_acc: 0.2467 Epoch 537/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3357 - acc: 0.4671 - val_loss: 2.3591 - val_acc: 0.2467 Epoch 538/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3356 - acc: 0.4657 - val_loss: 2.3207 - val_acc: 0.2467 Epoch 539/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3359 - acc: 0.4757 - val_loss: 2.3385 - val_acc: 0.2467 Epoch 540/1000 700/700 [==============================] - 0s 523us/step - loss: 1.3357 - acc: 0.4700 - val_loss: 2.3625 - val_acc: 0.2467 Epoch 541/1000 700/700 [==============================] - 0s 513us/step - loss: 1.3350 - acc: 0.4614 - val_loss: 2.3334 - val_acc: 0.2467 Epoch 542/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3355 - acc: 0.4671 - val_loss: 2.3410 - val_acc: 0.2467 Epoch 543/1000 700/700 [==============================] - 0s 516us/step - loss: 1.3350 - acc: 0.4757 - val_loss: 2.3510 - val_acc: 0.2500 Epoch 544/1000 700/700 [==============================] - 0s 529us/step - loss: 1.3364 - acc: 0.4671 - val_loss: 2.3189 - val_acc: 0.2467 Epoch 545/1000 700/700 [==============================] - 0s 512us/step - loss: 1.3352 - acc: 0.4714 - val_loss: 2.3357 - val_acc: 0.2467 Epoch 546/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3353 - acc: 0.4771 - val_loss: 2.3475 - val_acc: 0.2467 Epoch 547/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3354 - acc: 0.4686 - val_loss: 2.3434 - val_acc: 0.2500 Epoch 548/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3352 - acc: 0.4729 - val_loss: 2.3594 - val_acc: 0.2467 Epoch 549/1000 700/700 [==============================] - 0s 527us/step - loss: 1.3357 - acc: 0.4657 - val_loss: 2.3311 - val_acc: 0.2400 Epoch 550/1000 700/700 [==============================] - 0s 526us/step - loss: 1.3346 - acc: 0.4814 - val_loss: 2.3259 - val_acc: 0.2433 Epoch 551/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3347 - acc: 0.4743 - val_loss: 2.3262 - val_acc: 0.2433 Epoch 552/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3344 - acc: 0.4700 - val_loss: 2.3446 - val_acc: 0.2433 Epoch 553/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3348 - acc: 0.4714 - val_loss: 2.3475 - val_acc: 0.2467 Epoch 554/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3348 - acc: 0.4757 - val_loss: 2.3289 - val_acc: 0.2433 Epoch 555/1000 700/700 [==============================] - 0s 559us/step - loss: 1.3354 - acc: 0.4729 - val_loss: 2.3542 - val_acc: 0.2467 Epoch 556/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3346 - acc: 0.4714 - val_loss: 2.3486 - val_acc: 0.2467 Epoch 557/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3341 - acc: 0.4729 - val_loss: 2.3361 - val_acc: 0.2533 Epoch 558/1000 700/700 [==============================] - 0s 564us/step - loss: 1.3351 - acc: 0.4786 - val_loss: 2.3368 - val_acc: 0.2367 Epoch 559/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3345 - acc: 0.4743 - val_loss: 2.3323 - val_acc: 0.2400 Epoch 560/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3347 - acc: 0.4686 - val_loss: 2.3383 - val_acc: 0.2467 Epoch 561/1000 700/700 [==============================] - 0s 470us/step - loss: 1.3341 - acc: 0.4686 - val_loss: 2.3404 - val_acc: 0.2400 Epoch 562/1000 700/700 [==============================] - 0s 467us/step - loss: 1.3343 - acc: 0.4686 - val_loss: 2.3355 - val_acc: 0.2433 Epoch 563/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3347 - acc: 0.4786 - val_loss: 2.3298 - val_acc: 0.2433 Epoch 564/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3335 - acc: 0.4743 - val_loss: 2.3344 - val_acc: 0.2467 Epoch 565/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3349 - acc: 0.4729 - val_loss: 2.3335 - val_acc: 0.2500 Epoch 566/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3338 - acc: 0.4757 - val_loss: 2.3347 - val_acc: 0.2433 Epoch 567/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3326 - acc: 0.4729 - val_loss: 2.3462 - val_acc: 0.2467 Epoch 568/1000 700/700 [==============================] - 0s 537us/step - loss: 1.3326 - acc: 0.4714 - val_loss: 2.3326 - val_acc: 0.2433 Epoch 569/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3334 - acc: 0.4743 - val_loss: 2.3408 - val_acc: 0.2433 Epoch 570/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3342 - acc: 0.4729 - val_loss: 2.3415 - val_acc: 0.2400 Epoch 571/1000 700/700 [==============================] - 0s 530us/step - loss: 1.3336 - acc: 0.4700 - val_loss: 2.3250 - val_acc: 0.2467 Epoch 572/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3334 - acc: 0.4771 - val_loss: 2.3391 - val_acc: 0.2433 Epoch 573/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3336 - acc: 0.4814 - val_loss: 2.3519 - val_acc: 0.2467 Epoch 574/1000 700/700 [==============================] - 0s 531us/step - loss: 1.3337 - acc: 0.4743 - val_loss: 2.3412 - val_acc: 0.2467 Epoch 575/1000 700/700 [==============================] - 0s 537us/step - loss: 1.3322 - acc: 0.4686 - val_loss: 2.3513 - val_acc: 0.2467 Epoch 576/1000 700/700 [==============================] - 0s 526us/step - loss: 1.3332 - acc: 0.4771 - val_loss: 2.3343 - val_acc: 0.2433 Epoch 577/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3326 - acc: 0.4729 - val_loss: 2.3244 - val_acc: 0.2400 Epoch 578/1000 700/700 [==============================] - 0s 523us/step - loss: 1.3337 - acc: 0.4729 - val_loss: 2.3375 - val_acc: 0.2467 Epoch 579/1000 700/700 [==============================] - 0s 513us/step - loss: 1.3327 - acc: 0.4714 - val_loss: 2.3524 - val_acc: 0.2467 Epoch 580/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3328 - acc: 0.4757 - val_loss: 2.3628 - val_acc: 0.2500 Epoch 581/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3331 - acc: 0.4771 - val_loss: 2.3365 - val_acc: 0.2400 Epoch 582/1000 700/700 [==============================] - 0s 539us/step - loss: 1.3326 - acc: 0.4743 - val_loss: 2.3476 - val_acc: 0.2400 Epoch 583/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3322 - acc: 0.4700 - val_loss: 2.3459 - val_acc: 0.2333 Epoch 584/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3326 - acc: 0.4786 - val_loss: 2.3344 - val_acc: 0.2367 Epoch 585/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3327 - acc: 0.4743 - val_loss: 2.3363 - val_acc: 0.2367 Epoch 586/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3330 - acc: 0.4743 - val_loss: 2.3409 - val_acc: 0.2467 Epoch 587/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3329 - acc: 0.4729 - val_loss: 2.3382 - val_acc: 0.2433 Epoch 588/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3324 - acc: 0.4743 - val_loss: 2.3454 - val_acc: 0.2433 Epoch 589/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3314 - acc: 0.4700 - val_loss: 2.3483 - val_acc: 0.2367 Epoch 590/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3322 - acc: 0.4743 - val_loss: 2.3631 - val_acc: 0.2467 Epoch 591/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3315 - acc: 0.4771 - val_loss: 2.3525 - val_acc: 0.2467 Epoch 592/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3317 - acc: 0.4686 - val_loss: 2.3375 - val_acc: 0.2433 Epoch 593/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3315 - acc: 0.4771 - val_loss: 2.3290 - val_acc: 0.2467 Epoch 594/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3307 - acc: 0.4786 - val_loss: 2.3440 - val_acc: 0.2333 Epoch 595/1000 700/700 [==============================] - 0s 520us/step - loss: 1.3310 - acc: 0.4800 - val_loss: 2.3407 - val_acc: 0.2500 Epoch 596/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3317 - acc: 0.4786 - val_loss: 2.3385 - val_acc: 0.2467 Epoch 597/1000 700/700 [==============================] - 0s 519us/step - loss: 1.3313 - acc: 0.4757 - val_loss: 2.3296 - val_acc: 0.2400 Epoch 598/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3319 - acc: 0.4771 - val_loss: 2.3491 - val_acc: 0.2433 Epoch 599/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3319 - acc: 0.4743 - val_loss: 2.3427 - val_acc: 0.2433 Epoch 600/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3312 - acc: 0.4714 - val_loss: 2.3592 - val_acc: 0.2500 Epoch 601/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3317 - acc: 0.4743 - val_loss: 2.3417 - val_acc: 0.2433 Epoch 602/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3313 - acc: 0.4800 - val_loss: 2.3622 - val_acc: 0.2467 Epoch 603/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3319 - acc: 0.4786 - val_loss: 2.3544 - val_acc: 0.2400 Epoch 604/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3314 - acc: 0.4743 - val_loss: 2.3714 - val_acc: 0.2467 Epoch 605/1000 700/700 [==============================] - 0s 519us/step - loss: 1.3311 - acc: 0.4757 - val_loss: 2.3438 - val_acc: 0.2467 Epoch 606/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3322 - acc: 0.4729 - val_loss: 2.3508 - val_acc: 0.2433 Epoch 607/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3300 - acc: 0.4714 - val_loss: 2.3557 - val_acc: 0.2367 Epoch 608/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3308 - acc: 0.4729 - val_loss: 2.3460 - val_acc: 0.2367 Epoch 609/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3308 - acc: 0.4729 - val_loss: 2.3582 - val_acc: 0.2400 Epoch 610/1000 700/700 [==============================] - 0s 539us/step - loss: 1.3302 - acc: 0.4714 - val_loss: 2.3596 - val_acc: 0.2400 Epoch 611/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3307 - acc: 0.4729 - val_loss: 2.3410 - val_acc: 0.2467 Epoch 612/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3306 - acc: 0.4714 - val_loss: 2.3493 - val_acc: 0.2400 Epoch 613/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3303 - acc: 0.4700 - val_loss: 2.3540 - val_acc: 0.2433 Epoch 614/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3298 - acc: 0.4757 - val_loss: 2.3505 - val_acc: 0.2400 Epoch 615/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3300 - acc: 0.4729 - val_loss: 2.3684 - val_acc: 0.2400 Epoch 616/1000 700/700 [==============================] - 0s 573us/step - loss: 1.3300 - acc: 0.4729 - val_loss: 2.3877 - val_acc: 0.2533 Epoch 617/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3301 - acc: 0.4757 - val_loss: 2.3631 - val_acc: 0.2433 Epoch 618/1000 700/700 [==============================] - 0s 527us/step - loss: 1.3298 - acc: 0.4700 - val_loss: 2.3671 - val_acc: 0.2400 Epoch 619/1000 700/700 [==============================] - 0s 551us/step - loss: 1.3294 - acc: 0.4729 - val_loss: 2.3649 - val_acc: 0.2400 Epoch 620/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3294 - acc: 0.4757 - val_loss: 2.3585 - val_acc: 0.2433 Epoch 621/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3298 - acc: 0.4786 - val_loss: 2.3636 - val_acc: 0.2433 Epoch 622/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3291 - acc: 0.4743 - val_loss: 2.3817 - val_acc: 0.2433 Epoch 623/1000 700/700 [==============================] - 0s 519us/step - loss: 1.3288 - acc: 0.4729 - val_loss: 2.3770 - val_acc: 0.2500 Epoch 624/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3294 - acc: 0.4714 - val_loss: 2.3694 - val_acc: 0.2433 Epoch 625/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3291 - acc: 0.4743 - val_loss: 2.3347 - val_acc: 0.2467 Epoch 626/1000 700/700 [==============================] - 0s 519us/step - loss: 1.3293 - acc: 0.4829 - val_loss: 2.3678 - val_acc: 0.2433 Epoch 627/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3282 - acc: 0.4714 - val_loss: 2.3568 - val_acc: 0.2333 Epoch 628/1000 700/700 [==============================] - 0s 642us/step - loss: 1.3283 - acc: 0.4743 - val_loss: 2.3506 - val_acc: 0.2400 Epoch 629/1000 700/700 [==============================] - 0s 543us/step - loss: 1.3285 - acc: 0.4757 - val_loss: 2.3467 - val_acc: 0.2400 Epoch 630/1000 700/700 [==============================] - 0s 537us/step - loss: 1.3289 - acc: 0.4800 - val_loss: 2.3667 - val_acc: 0.2433 Epoch 631/1000 700/700 [==============================] - 0s 591us/step - loss: 1.3277 - acc: 0.4757 - val_loss: 2.3748 - val_acc: 0.2467 Epoch 632/1000 700/700 [==============================] - 0s 524us/step - loss: 1.3286 - acc: 0.4714 - val_loss: 2.3800 - val_acc: 0.2467 Epoch 633/1000 700/700 [==============================] - 0s 536us/step - loss: 1.3287 - acc: 0.4729 - val_loss: 2.3696 - val_acc: 0.2400 Epoch 634/1000 700/700 [==============================] - 0s 596us/step - loss: 1.3267 - acc: 0.4786 - val_loss: 2.3680 - val_acc: 0.2400 Epoch 635/1000 700/700 [==============================] - 0s 539us/step - loss: 1.3278 - acc: 0.4714 - val_loss: 2.3763 - val_acc: 0.2400 Epoch 636/1000 700/700 [==============================] - 0s 530us/step - loss: 1.3282 - acc: 0.4771 - val_loss: 2.3781 - val_acc: 0.2467 Epoch 637/1000 700/700 [==============================] - 0s 523us/step - loss: 1.3276 - acc: 0.4786 - val_loss: 2.3623 - val_acc: 0.2367 Epoch 638/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3283 - acc: 0.4743 - val_loss: 2.3852 - val_acc: 0.2500 Epoch 639/1000 700/700 [==============================] - 0s 529us/step - loss: 1.3275 - acc: 0.4714 - val_loss: 2.3540 - val_acc: 0.2433 Epoch 640/1000 700/700 [==============================] - 0s 521us/step - loss: 1.3281 - acc: 0.4743 - val_loss: 2.3619 - val_acc: 0.2467 Epoch 641/1000 700/700 [==============================] - 0s 558us/step - loss: 1.3275 - acc: 0.4914 - val_loss: 2.3732 - val_acc: 0.2400 Epoch 642/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3278 - acc: 0.4786 - val_loss: 2.3600 - val_acc: 0.2333 Epoch 643/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3270 - acc: 0.4786 - val_loss: 2.3708 - val_acc: 0.2367 Epoch 644/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3279 - acc: 0.4814 - val_loss: 2.3733 - val_acc: 0.2433 Epoch 645/1000 700/700 [==============================] - 0s 498us/step - loss: 1.3273 - acc: 0.4743 - val_loss: 2.3702 - val_acc: 0.2433 Epoch 646/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3270 - acc: 0.4800 - val_loss: 2.3728 - val_acc: 0.2433 Epoch 647/1000 700/700 [==============================] - 0s 466us/step - loss: 1.3269 - acc: 0.4771 - val_loss: 2.3522 - val_acc: 0.2500 Epoch 648/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3279 - acc: 0.4800 - val_loss: 2.3663 - val_acc: 0.2400 Epoch 649/1000 700/700 [==============================] - 0s 554us/step - loss: 1.3271 - acc: 0.4814 - val_loss: 2.3756 - val_acc: 0.2400 Epoch 650/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3267 - acc: 0.4771 - val_loss: 2.3645 - val_acc: 0.2400 Epoch 651/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3268 - acc: 0.4743 - val_loss: 2.3786 - val_acc: 0.2400 Epoch 652/1000 700/700 [==============================] - 0s 524us/step - loss: 1.3274 - acc: 0.4743 - val_loss: 2.3662 - val_acc: 0.2367 Epoch 653/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3274 - acc: 0.4771 - val_loss: 2.3573 - val_acc: 0.2433 Epoch 654/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3257 - acc: 0.4757 - val_loss: 2.3696 - val_acc: 0.2400 Epoch 655/1000 700/700 [==============================] - 0s 529us/step - loss: 1.3264 - acc: 0.4771 - val_loss: 2.3738 - val_acc: 0.2433 Epoch 656/1000 700/700 [==============================] - 0s 554us/step - loss: 1.3260 - acc: 0.4743 - val_loss: 2.3692 - val_acc: 0.2433 Epoch 657/1000 700/700 [==============================] - 0s 517us/step - loss: 1.3261 - acc: 0.4786 - val_loss: 2.3801 - val_acc: 0.2433 Epoch 658/1000 700/700 [==============================] - 0s 539us/step - loss: 1.3267 - acc: 0.4800 - val_loss: 2.3647 - val_acc: 0.2400 Epoch 659/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3260 - acc: 0.4829 - val_loss: 2.3807 - val_acc: 0.2467 Epoch 660/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3250 - acc: 0.4729 - val_loss: 2.3746 - val_acc: 0.2433 Epoch 661/1000 700/700 [==============================] - 0s 516us/step - loss: 1.3266 - acc: 0.4714 - val_loss: 2.3617 - val_acc: 0.2400 Epoch 662/1000 700/700 [==============================] - 0s 553us/step - loss: 1.3260 - acc: 0.4786 - val_loss: 2.3730 - val_acc: 0.2400 Epoch 663/1000 700/700 [==============================] - 0s 554us/step - loss: 1.3257 - acc: 0.4757 - val_loss: 2.3700 - val_acc: 0.2400 Epoch 664/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3260 - acc: 0.4857 - val_loss: 2.3725 - val_acc: 0.2433 Epoch 665/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3258 - acc: 0.4800 - val_loss: 2.3697 - val_acc: 0.2400 Epoch 666/1000 700/700 [==============================] - 0s 553us/step - loss: 1.3254 - acc: 0.4757 - val_loss: 2.3739 - val_acc: 0.2400 Epoch 667/1000 700/700 [==============================] - 0s 551us/step - loss: 1.3240 - acc: 0.4829 - val_loss: 2.3932 - val_acc: 0.2500 Epoch 668/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3265 - acc: 0.4771 - val_loss: 2.3644 - val_acc: 0.2467 Epoch 669/1000 700/700 [==============================] - 0s 604us/step - loss: 1.3249 - acc: 0.4814 - val_loss: 2.3718 - val_acc: 0.2400 Epoch 670/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3257 - acc: 0.4843 - val_loss: 2.3590 - val_acc: 0.2467 Epoch 671/1000 700/700 [==============================] - 0s 531us/step - loss: 1.3252 - acc: 0.4814 - val_loss: 2.3800 - val_acc: 0.2467 Epoch 672/1000 700/700 [==============================] - 0s 530us/step - loss: 1.3248 - acc: 0.4757 - val_loss: 2.3752 - val_acc: 0.2400 Epoch 673/1000 700/700 [==============================] - 0s 541us/step - loss: 1.3258 - acc: 0.4800 - val_loss: 2.3564 - val_acc: 0.2433 Epoch 674/1000 700/700 [==============================] - 0s 550us/step - loss: 1.3248 - acc: 0.4786 - val_loss: 2.3711 - val_acc: 0.2367 Epoch 675/1000 700/700 [==============================] - 0s 670us/step - loss: 1.3249 - acc: 0.4843 - val_loss: 2.3988 - val_acc: 0.2533 Epoch 676/1000 700/700 [==============================] - 0s 614us/step - loss: 1.3248 - acc: 0.4829 - val_loss: 2.3698 - val_acc: 0.2400 Epoch 677/1000 700/700 [==============================] - 0s 579us/step - loss: 1.3245 - acc: 0.4800 - val_loss: 2.3972 - val_acc: 0.2433 Epoch 678/1000 700/700 [==============================] - 0s 633us/step - loss: 1.3248 - acc: 0.4700 - val_loss: 2.3553 - val_acc: 0.2400 Epoch 679/1000 700/700 [==============================] - 0s 534us/step - loss: 1.3247 - acc: 0.4786 - val_loss: 2.3612 - val_acc: 0.2433 Epoch 680/1000 700/700 [==============================] - 0s 567us/step - loss: 1.3254 - acc: 0.4771 - val_loss: 2.3897 - val_acc: 0.2433 Epoch 681/1000 700/700 [==============================] - 0s 640us/step - loss: 1.3246 - acc: 0.4843 - val_loss: 2.3623 - val_acc: 0.2433 Epoch 682/1000 700/700 [==============================] - 0s 539us/step - loss: 1.3250 - acc: 0.4857 - val_loss: 2.3691 - val_acc: 0.2433 Epoch 683/1000 700/700 [==============================] - 0s 590us/step - loss: 1.3235 - acc: 0.4786 - val_loss: 2.3964 - val_acc: 0.2467 Epoch 684/1000 700/700 [==============================] - 1s 1ms/step - loss: 1.3243 - acc: 0.4829 - val_loss: 2.3785 - val_acc: 0.2433 Epoch 685/1000 700/700 [==============================] - 1s 905us/step - loss: 1.3241 - acc: 0.4729 - val_loss: 2.3774 - val_acc: 0.2433 Epoch 686/1000 700/700 [==============================] - 1s 992us/step - loss: 1.3243 - acc: 0.4800 - val_loss: 2.3878 - val_acc: 0.2500 Epoch 687/1000 700/700 [==============================] - 0s 600us/step - loss: 1.3243 - acc: 0.4771 - val_loss: 2.3714 - val_acc: 0.2433 Epoch 688/1000 700/700 [==============================] - 0s 675us/step - loss: 1.3240 - acc: 0.4800 - val_loss: 2.3904 - val_acc: 0.2467 Epoch 689/1000 700/700 [==============================] - 0s 668us/step - loss: 1.3236 - acc: 0.4786 - val_loss: 2.3755 - val_acc: 0.2433 Epoch 690/1000 700/700 [==============================] - 1s 881us/step - loss: 1.3238 - acc: 0.4800 - val_loss: 2.3804 - val_acc: 0.2400 Epoch 691/1000 700/700 [==============================] - 1s 826us/step - loss: 1.3253 - acc: 0.4786 - val_loss: 2.3683 - val_acc: 0.2400 Epoch 692/1000 700/700 [==============================] - 0s 704us/step - loss: 1.3236 - acc: 0.4743 - val_loss: 2.3668 - val_acc: 0.2400 Epoch 693/1000 700/700 [==============================] - 0s 536us/step - loss: 1.3227 - acc: 0.4814 - val_loss: 2.3817 - val_acc: 0.2433 Epoch 694/1000 700/700 [==============================] - 0s 625us/step - loss: 1.3237 - acc: 0.4857 - val_loss: 2.3818 - val_acc: 0.2400 Epoch 695/1000 700/700 [==============================] - 0s 549us/step - loss: 1.3234 - acc: 0.4757 - val_loss: 2.3765 - val_acc: 0.2433 Epoch 696/1000 700/700 [==============================] - 0s 574us/step - loss: 1.3240 - acc: 0.4800 - val_loss: 2.3825 - val_acc: 0.2400 Epoch 697/1000 700/700 [==============================] - 0s 524us/step - loss: 1.3237 - acc: 0.4800 - val_loss: 2.3714 - val_acc: 0.2433 Epoch 698/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3241 - acc: 0.4786 - val_loss: 2.3895 - val_acc: 0.2433 Epoch 699/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3232 - acc: 0.4771 - val_loss: 2.3897 - val_acc: 0.2467 Epoch 700/1000 700/700 [==============================] - 0s 557us/step - loss: 1.3238 - acc: 0.4786 - val_loss: 2.3759 - val_acc: 0.2433 Epoch 701/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3235 - acc: 0.4743 - val_loss: 2.3766 - val_acc: 0.2400 Epoch 702/1000 700/700 [==============================] - 0s 529us/step - loss: 1.3235 - acc: 0.4800 - val_loss: 2.3621 - val_acc: 0.2400 Epoch 703/1000 700/700 [==============================] - 0s 560us/step - loss: 1.3229 - acc: 0.4800 - val_loss: 2.3982 - val_acc: 0.2500 Epoch 704/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3219 - acc: 0.4757 - val_loss: 2.3771 - val_acc: 0.2467 Epoch 705/1000 700/700 [==============================] - 0s 520us/step - loss: 1.3237 - acc: 0.4800 - val_loss: 2.3703 - val_acc: 0.2433 Epoch 706/1000 700/700 [==============================] - 0s 530us/step - loss: 1.3227 - acc: 0.4771 - val_loss: 2.3963 - val_acc: 0.2400 Epoch 707/1000 700/700 [==============================] - 0s 530us/step - loss: 1.3243 - acc: 0.4771 - val_loss: 2.3741 - val_acc: 0.2467 Epoch 708/1000 700/700 [==============================] - 0s 543us/step - loss: 1.3223 - acc: 0.4729 - val_loss: 2.3899 - val_acc: 0.2400 Epoch 709/1000 700/700 [==============================] - 0s 576us/step - loss: 1.3227 - acc: 0.4814 - val_loss: 2.3804 - val_acc: 0.2467 Epoch 710/1000 700/700 [==============================] - 0s 568us/step - loss: 1.3212 - acc: 0.4757 - val_loss: 2.3707 - val_acc: 0.2433 Epoch 711/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3226 - acc: 0.4800 - val_loss: 2.3782 - val_acc: 0.2433 Epoch 712/1000 700/700 [==============================] - 0s 553us/step - loss: 1.3230 - acc: 0.4814 - val_loss: 2.4010 - val_acc: 0.2500 Epoch 713/1000 700/700 [==============================] - 0s 601us/step - loss: 1.3225 - acc: 0.4771 - val_loss: 2.3764 - val_acc: 0.2400 Epoch 714/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3222 - acc: 0.4800 - val_loss: 2.3784 - val_acc: 0.2433 Epoch 715/1000 700/700 [==============================] - 0s 520us/step - loss: 1.3217 - acc: 0.4800 - val_loss: 2.3539 - val_acc: 0.2467 Epoch 716/1000 700/700 [==============================] - 0s 511us/step - loss: 1.3232 - acc: 0.4829 - val_loss: 2.3998 - val_acc: 0.2467 Epoch 717/1000 700/700 [==============================] - 0s 531us/step - loss: 1.3225 - acc: 0.4757 - val_loss: 2.3765 - val_acc: 0.2400 Epoch 718/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3221 - acc: 0.4814 - val_loss: 2.3508 - val_acc: 0.2500 Epoch 719/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3235 - acc: 0.4814 - val_loss: 2.3913 - val_acc: 0.2500 Epoch 720/1000 700/700 [==============================] - 0s 517us/step - loss: 1.3218 - acc: 0.4829 - val_loss: 2.3905 - val_acc: 0.2500 Epoch 721/1000 700/700 [==============================] - 0s 516us/step - loss: 1.3222 - acc: 0.4800 - val_loss: 2.3667 - val_acc: 0.2400 Epoch 722/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3224 - acc: 0.4857 - val_loss: 2.3933 - val_acc: 0.2467 Epoch 723/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3212 - acc: 0.4829 - val_loss: 2.3909 - val_acc: 0.2467 Epoch 724/1000 700/700 [==============================] - 0s 533us/step - loss: 1.3216 - acc: 0.4800 - val_loss: 2.4020 - val_acc: 0.2500 Epoch 725/1000 700/700 [==============================] - 0s 621us/step - loss: 1.3221 - acc: 0.4771 - val_loss: 2.3998 - val_acc: 0.2533 Epoch 726/1000 700/700 [==============================] - 0s 520us/step - loss: 1.3213 - acc: 0.4871 - val_loss: 2.3993 - val_acc: 0.2433 Epoch 727/1000 700/700 [==============================] - 0s 520us/step - loss: 1.3213 - acc: 0.4857 - val_loss: 2.3944 - val_acc: 0.2433 Epoch 728/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3212 - acc: 0.4829 - val_loss: 2.3740 - val_acc: 0.2433 Epoch 729/1000 700/700 [==============================] - 0s 557us/step - loss: 1.3220 - acc: 0.4800 - val_loss: 2.3655 - val_acc: 0.2433 Epoch 730/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3213 - acc: 0.4771 - val_loss: 2.4010 - val_acc: 0.2533 Epoch 731/1000 700/700 [==============================] - 0s 553us/step - loss: 1.3200 - acc: 0.4814 - val_loss: 2.3974 - val_acc: 0.2400 Epoch 732/1000 700/700 [==============================] - 0s 544us/step - loss: 1.3219 - acc: 0.4871 - val_loss: 2.3773 - val_acc: 0.2400 Epoch 733/1000 700/700 [==============================] - 0s 544us/step - loss: 1.3208 - acc: 0.4800 - val_loss: 2.3827 - val_acc: 0.2433 Epoch 734/1000 700/700 [==============================] - 0s 519us/step - loss: 1.3213 - acc: 0.4800 - val_loss: 2.3958 - val_acc: 0.2467 Epoch 735/1000 700/700 [==============================] - 0s 529us/step - loss: 1.3209 - acc: 0.4814 - val_loss: 2.3944 - val_acc: 0.2500 Epoch 736/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3210 - acc: 0.4743 - val_loss: 2.3870 - val_acc: 0.2433 Epoch 737/1000 700/700 [==============================] - 0s 473us/step - loss: 1.3205 - acc: 0.4786 - val_loss: 2.3912 - val_acc: 0.2433 Epoch 738/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3208 - acc: 0.4829 - val_loss: 2.3908 - val_acc: 0.2433 Epoch 739/1000 700/700 [==============================] - 0s 540us/step - loss: 1.3204 - acc: 0.4814 - val_loss: 2.3869 - val_acc: 0.2467 Epoch 740/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3197 - acc: 0.4843 - val_loss: 2.3994 - val_acc: 0.2400 Epoch 741/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3207 - acc: 0.4800 - val_loss: 2.3740 - val_acc: 0.2400 Epoch 742/1000 700/700 [==============================] - 0s 516us/step - loss: 1.3209 - acc: 0.4857 - val_loss: 2.3754 - val_acc: 0.2467 Epoch 743/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3201 - acc: 0.4814 - val_loss: 2.3894 - val_acc: 0.2433 Epoch 744/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3196 - acc: 0.4857 - val_loss: 2.3979 - val_acc: 0.2433 Epoch 745/1000 700/700 [==============================] - 0s 557us/step - loss: 1.3201 - acc: 0.4757 - val_loss: 2.3978 - val_acc: 0.2433 Epoch 746/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3198 - acc: 0.4871 - val_loss: 2.3710 - val_acc: 0.2400 Epoch 747/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3202 - acc: 0.4857 - val_loss: 2.3877 - val_acc: 0.2433 Epoch 748/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3201 - acc: 0.4814 - val_loss: 2.3715 - val_acc: 0.2400 Epoch 749/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3192 - acc: 0.4743 - val_loss: 2.3856 - val_acc: 0.2467 Epoch 750/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3192 - acc: 0.4757 - val_loss: 2.3725 - val_acc: 0.2500 Epoch 751/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3198 - acc: 0.4829 - val_loss: 2.3882 - val_acc: 0.2433 Epoch 752/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3198 - acc: 0.4771 - val_loss: 2.3911 - val_acc: 0.2467 Epoch 753/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3199 - acc: 0.4843 - val_loss: 2.3968 - val_acc: 0.2467 Epoch 754/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3199 - acc: 0.4843 - val_loss: 2.3833 - val_acc: 0.2467 Epoch 755/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3192 - acc: 0.4843 - val_loss: 2.3947 - val_acc: 0.2433 Epoch 756/1000 700/700 [==============================] - 0s 523us/step - loss: 1.3196 - acc: 0.4771 - val_loss: 2.3859 - val_acc: 0.2433 Epoch 757/1000 700/700 [==============================] - 0s 526us/step - loss: 1.3195 - acc: 0.4857 - val_loss: 2.4046 - val_acc: 0.2500 Epoch 758/1000 700/700 [==============================] - 0s 470us/step - loss: 1.3192 - acc: 0.4843 - val_loss: 2.3699 - val_acc: 0.2433 Epoch 759/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3193 - acc: 0.4843 - val_loss: 2.3912 - val_acc: 0.2500 Epoch 760/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3195 - acc: 0.4829 - val_loss: 2.3852 - val_acc: 0.2467 Epoch 761/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3190 - acc: 0.4829 - val_loss: 2.3842 - val_acc: 0.2433 Epoch 762/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3185 - acc: 0.4800 - val_loss: 2.3847 - val_acc: 0.2367 Epoch 763/1000 700/700 [==============================] - 0s 507us/step - loss: 1.3185 - acc: 0.4871 - val_loss: 2.3961 - val_acc: 0.2433 Epoch 764/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3199 - acc: 0.4786 - val_loss: 2.4044 - val_acc: 0.2467 Epoch 765/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3192 - acc: 0.4771 - val_loss: 2.4029 - val_acc: 0.2467 Epoch 766/1000 700/700 [==============================] - 0s 519us/step - loss: 1.3195 - acc: 0.4814 - val_loss: 2.3970 - val_acc: 0.2433 Epoch 767/1000 700/700 [==============================] - 0s 523us/step - loss: 1.3183 - acc: 0.4871 - val_loss: 2.3924 - val_acc: 0.2367 Epoch 768/1000 700/700 [==============================] - 0s 517us/step - loss: 1.3190 - acc: 0.4871 - val_loss: 2.3971 - val_acc: 0.2433 Epoch 769/1000 700/700 [==============================] - 0s 547us/step - loss: 1.3181 - acc: 0.4814 - val_loss: 2.3952 - val_acc: 0.2467 Epoch 770/1000 700/700 [==============================] - 0s 628us/step - loss: 1.3185 - acc: 0.4843 - val_loss: 2.3980 - val_acc: 0.2433 Epoch 771/1000 700/700 [==============================] - 0s 572us/step - loss: 1.3190 - acc: 0.4900 - val_loss: 2.3926 - val_acc: 0.2400 Epoch 772/1000 700/700 [==============================] - 0s 606us/step - loss: 1.3183 - acc: 0.4829 - val_loss: 2.4236 - val_acc: 0.2500 Epoch 773/1000 700/700 [==============================] - 0s 640us/step - loss: 1.3189 - acc: 0.4857 - val_loss: 2.3784 - val_acc: 0.2400 Epoch 774/1000 700/700 [==============================] - 0s 700us/step - loss: 1.3184 - acc: 0.4814 - val_loss: 2.3919 - val_acc: 0.2400 Epoch 775/1000 700/700 [==============================] - 0s 511us/step - loss: 1.3174 - acc: 0.4729 - val_loss: 2.3940 - val_acc: 0.2467 Epoch 776/1000 700/700 [==============================] - 0s 670us/step - loss: 1.3190 - acc: 0.4871 - val_loss: 2.4006 - val_acc: 0.2467 Epoch 777/1000 700/700 [==============================] - 0s 590us/step - loss: 1.3180 - acc: 0.4771 - val_loss: 2.4062 - val_acc: 0.2467 Epoch 778/1000 700/700 [==============================] - 0s 669us/step - loss: 1.3178 - acc: 0.4829 - val_loss: 2.3910 - val_acc: 0.2400 Epoch 779/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3183 - acc: 0.4829 - val_loss: 2.3913 - val_acc: 0.2433 Epoch 780/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3171 - acc: 0.4786 - val_loss: 2.3995 - val_acc: 0.2400 Epoch 781/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3181 - acc: 0.4814 - val_loss: 2.4044 - val_acc: 0.2467 Epoch 782/1000 700/700 [==============================] - 0s 560us/step - loss: 1.3181 - acc: 0.4900 - val_loss: 2.4043 - val_acc: 0.2433 Epoch 783/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3168 - acc: 0.4871 - val_loss: 2.3945 - val_acc: 0.2433 Epoch 784/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3178 - acc: 0.4771 - val_loss: 2.3942 - val_acc: 0.2433 Epoch 785/1000 700/700 [==============================] - 0s 654us/step - loss: 1.3167 - acc: 0.4829 - val_loss: 2.4075 - val_acc: 0.2400 Epoch 786/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3175 - acc: 0.4814 - val_loss: 2.3913 - val_acc: 0.2400 Epoch 787/1000 700/700 [==============================] - 0s 594us/step - loss: 1.3170 - acc: 0.4886 - val_loss: 2.4295 - val_acc: 0.2467 Epoch 788/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3173 - acc: 0.4757 - val_loss: 2.4121 - val_acc: 0.2467 Epoch 789/1000 700/700 [==============================] - 0s 513us/step - loss: 1.3175 - acc: 0.4814 - val_loss: 2.3937 - val_acc: 0.2433 Epoch 790/1000 700/700 [==============================] - 0s 641us/step - loss: 1.3160 - acc: 0.4843 - val_loss: 2.3828 - val_acc: 0.2433 Epoch 791/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3162 - acc: 0.4871 - val_loss: 2.4052 - val_acc: 0.2467 Epoch 792/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3164 - acc: 0.4814 - val_loss: 2.3808 - val_acc: 0.2400 Epoch 793/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3160 - acc: 0.4829 - val_loss: 2.4132 - val_acc: 0.2467 Epoch 794/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3150 - acc: 0.4900 - val_loss: 2.4168 - val_acc: 0.2433 Epoch 795/1000 700/700 [==============================] - 0s 530us/step - loss: 1.3161 - acc: 0.4871 - val_loss: 2.3963 - val_acc: 0.2500 Epoch 796/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3168 - acc: 0.4829 - val_loss: 2.4043 - val_acc: 0.2367 Epoch 797/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3168 - acc: 0.4814 - val_loss: 2.3954 - val_acc: 0.2367 Epoch 798/1000 700/700 [==============================] - 0s 520us/step - loss: 1.3155 - acc: 0.4843 - val_loss: 2.3885 - val_acc: 0.2467 Epoch 799/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3161 - acc: 0.4800 - val_loss: 2.4002 - val_acc: 0.2467 Epoch 800/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3164 - acc: 0.4843 - val_loss: 2.4015 - val_acc: 0.2467 Epoch 801/1000 700/700 [==============================] - 0s 644us/step - loss: 1.3157 - acc: 0.4843 - val_loss: 2.3723 - val_acc: 0.2367 Epoch 802/1000 700/700 [==============================] - 0s 580us/step - loss: 1.3158 - acc: 0.4857 - val_loss: 2.4048 - val_acc: 0.2433 Epoch 803/1000 700/700 [==============================] - 0s 523us/step - loss: 1.3159 - acc: 0.4871 - val_loss: 2.3962 - val_acc: 0.2433 Epoch 804/1000 700/700 [==============================] - 0s 517us/step - loss: 1.3163 - acc: 0.4900 - val_loss: 2.3907 - val_acc: 0.2400 Epoch 805/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3155 - acc: 0.4857 - val_loss: 2.3978 - val_acc: 0.2433 Epoch 806/1000 700/700 [==============================] - 0s 478us/step - loss: 1.3157 - acc: 0.4914 - val_loss: 2.3977 - val_acc: 0.2433 Epoch 807/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3155 - acc: 0.4800 - val_loss: 2.3889 - val_acc: 0.2400 Epoch 808/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3158 - acc: 0.4829 - val_loss: 2.3919 - val_acc: 0.2400 Epoch 809/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3158 - acc: 0.4843 - val_loss: 2.3906 - val_acc: 0.2433 Epoch 810/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3150 - acc: 0.4843 - val_loss: 2.4103 - val_acc: 0.2433 Epoch 811/1000 700/700 [==============================] - 0s 498us/step - loss: 1.3146 - acc: 0.4929 - val_loss: 2.4155 - val_acc: 0.2467 Epoch 812/1000 700/700 [==============================] - 0s 638us/step - loss: 1.3151 - acc: 0.4829 - val_loss: 2.3879 - val_acc: 0.2367 Epoch 813/1000 700/700 [==============================] - 0s 526us/step - loss: 1.3150 - acc: 0.4857 - val_loss: 2.4148 - val_acc: 0.2467 Epoch 814/1000 700/700 [==============================] - 0s 547us/step - loss: 1.3151 - acc: 0.4757 - val_loss: 2.4212 - val_acc: 0.2467 Epoch 815/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3150 - acc: 0.4800 - val_loss: 2.4334 - val_acc: 0.2500 Epoch 816/1000 700/700 [==============================] - 0s 463us/step - loss: 1.3149 - acc: 0.4871 - val_loss: 2.4126 - val_acc: 0.2467 Epoch 817/1000 700/700 [==============================] - 0s 473us/step - loss: 1.3144 - acc: 0.4886 - val_loss: 2.4173 - val_acc: 0.2467 Epoch 818/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3145 - acc: 0.4857 - val_loss: 2.4060 - val_acc: 0.2467 Epoch 819/1000 700/700 [==============================] - 0s 453us/step - loss: 1.3156 - acc: 0.4857 - val_loss: 2.4068 - val_acc: 0.2400 Epoch 820/1000 700/700 [==============================] - 0s 467us/step - loss: 1.3135 - acc: 0.4829 - val_loss: 2.4008 - val_acc: 0.2467 Epoch 821/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3147 - acc: 0.4886 - val_loss: 2.3964 - val_acc: 0.2433 Epoch 822/1000 700/700 [==============================] - 0s 457us/step - loss: 1.3137 - acc: 0.4814 - val_loss: 2.4073 - val_acc: 0.2400 Epoch 823/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3150 - acc: 0.4886 - val_loss: 2.4168 - val_acc: 0.2433 Epoch 824/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3140 - acc: 0.4857 - val_loss: 2.4110 - val_acc: 0.2433 Epoch 825/1000 700/700 [==============================] - 0s 448us/step - loss: 1.3141 - acc: 0.4886 - val_loss: 2.4095 - val_acc: 0.2467 Epoch 826/1000 700/700 [==============================] - 0s 473us/step - loss: 1.3140 - acc: 0.4914 - val_loss: 2.4159 - val_acc: 0.2467 Epoch 827/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3137 - acc: 0.4886 - val_loss: 2.4015 - val_acc: 0.2400 Epoch 828/1000 700/700 [==============================] - 0s 467us/step - loss: 1.3137 - acc: 0.4814 - val_loss: 2.4114 - val_acc: 0.2433 Epoch 829/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3134 - acc: 0.4786 - val_loss: 2.3831 - val_acc: 0.2433 Epoch 830/1000 700/700 [==============================] - 0s 466us/step - loss: 1.3144 - acc: 0.4843 - val_loss: 2.4139 - val_acc: 0.2400 Epoch 831/1000 700/700 [==============================] - 0s 452us/step - loss: 1.3137 - acc: 0.4886 - val_loss: 2.3916 - val_acc: 0.2433 Epoch 832/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3132 - acc: 0.4829 - val_loss: 2.4145 - val_acc: 0.2433 Epoch 833/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3134 - acc: 0.4914 - val_loss: 2.4039 - val_acc: 0.2433 Epoch 834/1000 700/700 [==============================] - 0s 445us/step - loss: 1.3131 - acc: 0.4829 - val_loss: 2.3698 - val_acc: 0.2433 Epoch 835/1000 700/700 [==============================] - 0s 478us/step - loss: 1.3140 - acc: 0.4971 - val_loss: 2.4146 - val_acc: 0.2433 Epoch 836/1000 700/700 [==============================] - 0s 450us/step - loss: 1.3131 - acc: 0.4800 - val_loss: 2.4033 - val_acc: 0.2500 Epoch 837/1000 700/700 [==============================] - 0s 453us/step - loss: 1.3145 - acc: 0.4857 - val_loss: 2.3946 - val_acc: 0.2467 Epoch 838/1000 700/700 [==============================] - 0s 460us/step - loss: 1.3140 - acc: 0.4900 - val_loss: 2.4337 - val_acc: 0.2467 Epoch 839/1000 700/700 [==============================] - 0s 469us/step - loss: 1.3130 - acc: 0.4814 - val_loss: 2.4161 - val_acc: 0.2400 Epoch 840/1000 700/700 [==============================] - 0s 482us/step - loss: 1.3134 - acc: 0.4843 - val_loss: 2.4140 - val_acc: 0.2467 Epoch 841/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3128 - acc: 0.4800 - val_loss: 2.4228 - val_acc: 0.2500 Epoch 842/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3129 - acc: 0.4871 - val_loss: 2.3903 - val_acc: 0.2433 Epoch 843/1000 700/700 [==============================] - 0s 457us/step - loss: 1.3124 - acc: 0.4886 - val_loss: 2.4032 - val_acc: 0.2467 Epoch 844/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3127 - acc: 0.4886 - val_loss: 2.4151 - val_acc: 0.2467 Epoch 845/1000 700/700 [==============================] - 0s 470us/step - loss: 1.3126 - acc: 0.4857 - val_loss: 2.4183 - val_acc: 0.2467 Epoch 846/1000 700/700 [==============================] - 0s 446us/step - loss: 1.3116 - acc: 0.4886 - val_loss: 2.4050 - val_acc: 0.2433 Epoch 847/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3118 - acc: 0.4871 - val_loss: 2.3991 - val_acc: 0.2367 Epoch 848/1000 700/700 [==============================] - 0s 467us/step - loss: 1.3124 - acc: 0.4800 - val_loss: 2.3953 - val_acc: 0.2433 Epoch 849/1000 700/700 [==============================] - 0s 445us/step - loss: 1.3126 - acc: 0.4871 - val_loss: 2.4228 - val_acc: 0.2433 Epoch 850/1000 700/700 [==============================] - 0s 501us/step - loss: 1.3132 - acc: 0.4843 - val_loss: 2.3961 - val_acc: 0.2367 Epoch 851/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3122 - acc: 0.4900 - val_loss: 2.4001 - val_acc: 0.2467 Epoch 852/1000 700/700 [==============================] - 0s 455us/step - loss: 1.3125 - acc: 0.4886 - val_loss: 2.4125 - val_acc: 0.2400 Epoch 853/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3126 - acc: 0.4943 - val_loss: 2.3855 - val_acc: 0.2433 Epoch 854/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3119 - acc: 0.4871 - val_loss: 2.3952 - val_acc: 0.2467 Epoch 855/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3126 - acc: 0.4829 - val_loss: 2.4116 - val_acc: 0.2467 Epoch 856/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3124 - acc: 0.4843 - val_loss: 2.4134 - val_acc: 0.2433 Epoch 857/1000 700/700 [==============================] - 0s 524us/step - loss: 1.3118 - acc: 0.4886 - val_loss: 2.3946 - val_acc: 0.2433 Epoch 858/1000 700/700 [==============================] - 0s 530us/step - loss: 1.3114 - acc: 0.4900 - val_loss: 2.4033 - val_acc: 0.2467 Epoch 859/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3117 - acc: 0.4886 - val_loss: 2.4090 - val_acc: 0.2467 Epoch 860/1000 700/700 [==============================] - 0s 470us/step - loss: 1.3114 - acc: 0.4886 - val_loss: 2.4048 - val_acc: 0.2367 Epoch 861/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3122 - acc: 0.4871 - val_loss: 2.3967 - val_acc: 0.2433 Epoch 862/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3109 - acc: 0.4914 - val_loss: 2.3843 - val_acc: 0.2400 Epoch 863/1000 700/700 [==============================] - 0s 470us/step - loss: 1.3125 - acc: 0.4843 - val_loss: 2.4207 - val_acc: 0.2433 Epoch 864/1000 700/700 [==============================] - 0s 539us/step - loss: 1.3121 - acc: 0.4829 - val_loss: 2.4235 - val_acc: 0.2400 Epoch 865/1000 700/700 [==============================] - 0s 533us/step - loss: 1.3116 - acc: 0.4786 - val_loss: 2.4017 - val_acc: 0.2433 Epoch 866/1000 700/700 [==============================] - 0s 441us/step - loss: 1.3117 - acc: 0.4914 - val_loss: 2.4323 - val_acc: 0.2467 Epoch 867/1000 700/700 [==============================] - 0s 517us/step - loss: 1.3118 - acc: 0.4829 - val_loss: 2.4018 - val_acc: 0.2467 Epoch 868/1000 700/700 [==============================] - 0s 455us/step - loss: 1.3110 - acc: 0.4857 - val_loss: 2.4090 - val_acc: 0.2467 Epoch 869/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3111 - acc: 0.4929 - val_loss: 2.4256 - val_acc: 0.2467 Epoch 870/1000 700/700 [==============================] - 0s 524us/step - loss: 1.3109 - acc: 0.4900 - val_loss: 2.3934 - val_acc: 0.2433 Epoch 871/1000 700/700 [==============================] - 0s 495us/step - loss: 1.3113 - acc: 0.4814 - val_loss: 2.4599 - val_acc: 0.2500 Epoch 872/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3114 - acc: 0.4800 - val_loss: 2.4228 - val_acc: 0.2467 Epoch 873/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3113 - acc: 0.4929 - val_loss: 2.4211 - val_acc: 0.2433 Epoch 874/1000 700/700 [==============================] - 0s 481us/step - loss: 1.3109 - acc: 0.4943 - val_loss: 2.4150 - val_acc: 0.2433 Epoch 875/1000 700/700 [==============================] - 0s 491us/step - loss: 1.3115 - acc: 0.4843 - val_loss: 2.4034 - val_acc: 0.2367 Epoch 876/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3104 - acc: 0.4829 - val_loss: 2.4073 - val_acc: 0.2467 Epoch 877/1000 700/700 [==============================] - 0s 476us/step - loss: 1.3105 - acc: 0.4843 - val_loss: 2.4340 - val_acc: 0.2467 Epoch 878/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3105 - acc: 0.4914 - val_loss: 2.4198 - val_acc: 0.2433 Epoch 879/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3109 - acc: 0.4871 - val_loss: 2.4246 - val_acc: 0.2500 Epoch 880/1000 700/700 [==============================] - 0s 470us/step - loss: 1.3106 - acc: 0.4857 - val_loss: 2.4201 - val_acc: 0.2400 Epoch 881/1000 700/700 [==============================] - 0s 488us/step - loss: 1.3103 - acc: 0.4886 - val_loss: 2.4341 - val_acc: 0.2533 Epoch 882/1000 700/700 [==============================] - 0s 509us/step - loss: 1.3109 - acc: 0.4871 - val_loss: 2.3914 - val_acc: 0.2433 Epoch 883/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3098 - acc: 0.4843 - val_loss: 2.3945 - val_acc: 0.2433 Epoch 884/1000 700/700 [==============================] - 0s 521us/step - loss: 1.3108 - acc: 0.4800 - val_loss: 2.4330 - val_acc: 0.2500 Epoch 885/1000 700/700 [==============================] - 0s 504us/step - loss: 1.3105 - acc: 0.4843 - val_loss: 2.4299 - val_acc: 0.2467 Epoch 886/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3104 - acc: 0.4900 - val_loss: 2.4405 - val_acc: 0.2467 Epoch 887/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3101 - acc: 0.4886 - val_loss: 2.4064 - val_acc: 0.2433 Epoch 888/1000 700/700 [==============================] - 0s 464us/step - loss: 1.3098 - acc: 0.4843 - val_loss: 2.4040 - val_acc: 0.2367 Epoch 889/1000 700/700 [==============================] - 0s 443us/step - loss: 1.3109 - acc: 0.4871 - val_loss: 2.4111 - val_acc: 0.2400 Epoch 890/1000 700/700 [==============================] - 0s 511us/step - loss: 1.3096 - acc: 0.4829 - val_loss: 2.4292 - val_acc: 0.2433 Epoch 891/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3092 - acc: 0.4857 - val_loss: 2.4074 - val_acc: 0.2500 Epoch 892/1000 700/700 [==============================] - 0s 470us/step - loss: 1.3098 - acc: 0.4857 - val_loss: 2.4133 - val_acc: 0.2400 Epoch 893/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3101 - acc: 0.4800 - val_loss: 2.4148 - val_acc: 0.2367 Epoch 894/1000 700/700 [==============================] - 0s 472us/step - loss: 1.3106 - acc: 0.4871 - val_loss: 2.4031 - val_acc: 0.2400 Epoch 895/1000 700/700 [==============================] - 0s 463us/step - loss: 1.3093 - acc: 0.4886 - val_loss: 2.4192 - val_acc: 0.2433 Epoch 896/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3091 - acc: 0.4900 - val_loss: 2.4129 - val_acc: 0.2433 Epoch 897/1000 700/700 [==============================] - 0s 485us/step - loss: 1.3096 - acc: 0.4914 - val_loss: 2.4243 - val_acc: 0.2433 Epoch 898/1000 700/700 [==============================] - 0s 500us/step - loss: 1.3096 - acc: 0.4886 - val_loss: 2.4240 - val_acc: 0.2400 Epoch 899/1000 700/700 [==============================] - 0s 519us/step - loss: 1.3099 - acc: 0.4786 - val_loss: 2.4173 - val_acc: 0.2433 Epoch 900/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3089 - acc: 0.4871 - val_loss: 2.4186 - val_acc: 0.2433 Epoch 901/1000 700/700 [==============================] - 0s 506us/step - loss: 1.3093 - acc: 0.4900 - val_loss: 2.4488 - val_acc: 0.2467 Epoch 902/1000 700/700 [==============================] - ETA: 0s - loss: 1.3180 - acc: 0.483 - 0s 494us/step - loss: 1.3098 - acc: 0.4886 - val_loss: 2.4073 - val_acc: 0.2433 Epoch 903/1000 700/700 [==============================] - 0s 464us/step - loss: 1.3088 - acc: 0.4929 - val_loss: 2.4195 - val_acc: 0.2400 Epoch 904/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3083 - acc: 0.4857 - val_loss: 2.3901 - val_acc: 0.2433 Epoch 905/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3094 - acc: 0.4886 - val_loss: 2.4110 - val_acc: 0.2400 Epoch 906/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3086 - acc: 0.4914 - val_loss: 2.4286 - val_acc: 0.2467 Epoch 907/1000 700/700 [==============================] - 0s 530us/step - loss: 1.3087 - acc: 0.4929 - val_loss: 2.4221 - val_acc: 0.2467 Epoch 908/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3087 - acc: 0.4829 - val_loss: 2.4059 - val_acc: 0.2400 Epoch 909/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3077 - acc: 0.4843 - val_loss: 2.4383 - val_acc: 0.2467 Epoch 910/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3093 - acc: 0.4943 - val_loss: 2.4261 - val_acc: 0.2400 Epoch 911/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3086 - acc: 0.4900 - val_loss: 2.4164 - val_acc: 0.2433 Epoch 912/1000 700/700 [==============================] - 0s 461us/step - loss: 1.3089 - acc: 0.4900 - val_loss: 2.4185 - val_acc: 0.2400 Epoch 913/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3089 - acc: 0.4914 - val_loss: 2.4207 - val_acc: 0.2467 Epoch 914/1000 700/700 [==============================] - 0s 493us/step - loss: 1.3090 - acc: 0.4843 - val_loss: 2.4140 - val_acc: 0.2500 Epoch 915/1000 700/700 [==============================] - 0s 458us/step - loss: 1.3084 - acc: 0.4871 - val_loss: 2.4402 - val_acc: 0.2533 Epoch 916/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3087 - acc: 0.4871 - val_loss: 2.4347 - val_acc: 0.2467 Epoch 917/1000 700/700 [==============================] - 0s 462us/step - loss: 1.3079 - acc: 0.4900 - val_loss: 2.4303 - val_acc: 0.2433 Epoch 918/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3081 - acc: 0.4871 - val_loss: 2.4405 - val_acc: 0.2467 Epoch 919/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3081 - acc: 0.4829 - val_loss: 2.4127 - val_acc: 0.2500 Epoch 920/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3078 - acc: 0.4886 - val_loss: 2.4095 - val_acc: 0.2467 Epoch 921/1000 700/700 [==============================] - 0s 478us/step - loss: 1.3082 - acc: 0.4886 - val_loss: 2.4439 - val_acc: 0.2433 Epoch 922/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3080 - acc: 0.4971 - val_loss: 2.4416 - val_acc: 0.2467 Epoch 923/1000 700/700 [==============================] - 0s 513us/step - loss: 1.3085 - acc: 0.4886 - val_loss: 2.4079 - val_acc: 0.2367 Epoch 924/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3078 - acc: 0.4857 - val_loss: 2.4339 - val_acc: 0.2500 Epoch 925/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3077 - acc: 0.4900 - val_loss: 2.4147 - val_acc: 0.2367 Epoch 926/1000 700/700 [==============================] - 0s 459us/step - loss: 1.3076 - acc: 0.4914 - val_loss: 2.4297 - val_acc: 0.2433 Epoch 927/1000 700/700 [==============================] - 0s 472us/step - loss: 1.3085 - acc: 0.4929 - val_loss: 2.4188 - val_acc: 0.2433 Epoch 928/1000 700/700 [==============================] - 0s 484us/step - loss: 1.3080 - acc: 0.4900 - val_loss: 2.4106 - val_acc: 0.2433 Epoch 929/1000 700/700 [==============================] - 0s 463us/step - loss: 1.3071 - acc: 0.4957 - val_loss: 2.4148 - val_acc: 0.2467 Epoch 930/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3077 - acc: 0.4986 - val_loss: 2.4366 - val_acc: 0.2400 Epoch 931/1000 700/700 [==============================] - 0s 473us/step - loss: 1.3074 - acc: 0.4857 - val_loss: 2.4097 - val_acc: 0.2400 Epoch 932/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3073 - acc: 0.4886 - val_loss: 2.4056 - val_acc: 0.2467 Epoch 933/1000 700/700 [==============================] - 0s 508us/step - loss: 1.3073 - acc: 0.4929 - val_loss: 2.4193 - val_acc: 0.2400 Epoch 934/1000 700/700 [==============================] - 0s 501us/step - loss: 1.3069 - acc: 0.4829 - val_loss: 2.4483 - val_acc: 0.2500 Epoch 935/1000 700/700 [==============================] - 0s 451us/step - loss: 1.3071 - acc: 0.4900 - val_loss: 2.4542 - val_acc: 0.2500 Epoch 936/1000 700/700 [==============================] - 0s 495us/step - loss: 1.3083 - acc: 0.4943 - val_loss: 2.4364 - val_acc: 0.2433 Epoch 937/1000 700/700 [==============================] - 0s 442us/step - loss: 1.3068 - acc: 0.4886 - val_loss: 2.4372 - val_acc: 0.2467 Epoch 938/1000 700/700 [==============================] - 0s 468us/step - loss: 1.3065 - acc: 0.4829 - val_loss: 2.4319 - val_acc: 0.2433 Epoch 939/1000 700/700 [==============================] - 0s 510us/step - loss: 1.3073 - acc: 0.4914 - val_loss: 2.4321 - val_acc: 0.2467 Epoch 940/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3069 - acc: 0.4900 - val_loss: 2.4356 - val_acc: 0.2467 Epoch 941/1000 700/700 [==============================] - 0s 458us/step - loss: 1.3068 - acc: 0.4857 - val_loss: 2.4202 - val_acc: 0.2433 Epoch 942/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3055 - acc: 0.4871 - val_loss: 2.4181 - val_acc: 0.2500 Epoch 943/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3071 - acc: 0.4929 - val_loss: 2.4139 - val_acc: 0.2500 Epoch 944/1000 700/700 [==============================] - 0s 464us/step - loss: 1.3061 - acc: 0.4957 - val_loss: 2.4186 - val_acc: 0.2467 Epoch 945/1000 700/700 [==============================] - 0s 505us/step - loss: 1.3066 - acc: 0.4929 - val_loss: 2.4181 - val_acc: 0.2467 Epoch 946/1000 700/700 [==============================] - 0s 462us/step - loss: 1.3062 - acc: 0.4843 - val_loss: 2.4270 - val_acc: 0.2367 Epoch 947/1000 700/700 [==============================] - 0s 473us/step - loss: 1.3069 - acc: 0.4886 - val_loss: 2.4316 - val_acc: 0.2400 Epoch 948/1000 700/700 [==============================] - 0s 524us/step - loss: 1.3063 - acc: 0.4957 - val_loss: 2.4135 - val_acc: 0.2433 Epoch 949/1000 700/700 [==============================] - 0s 474us/step - loss: 1.3052 - acc: 0.4914 - val_loss: 2.4363 - val_acc: 0.2433 Epoch 950/1000 700/700 [==============================] - 0s 477us/step - loss: 1.3072 - acc: 0.4929 - val_loss: 2.4338 - val_acc: 0.2433 Epoch 951/1000 700/700 [==============================] - 0s 520us/step - loss: 1.3060 - acc: 0.4857 - val_loss: 2.4356 - val_acc: 0.2467 Epoch 952/1000 700/700 [==============================] - 0s 480us/step - loss: 1.3064 - acc: 0.4843 - val_loss: 2.4296 - val_acc: 0.2433 Epoch 953/1000 700/700 [==============================] - 0s 457us/step - loss: 1.3057 - acc: 0.4857 - val_loss: 2.4375 - val_acc: 0.2400 Epoch 954/1000 700/700 [==============================] - 0s 503us/step - loss: 1.3060 - acc: 0.4914 - val_loss: 2.4558 - val_acc: 0.2467 Epoch 955/1000 700/700 [==============================] - 0s 469us/step - loss: 1.3064 - acc: 0.4886 - val_loss: 2.4373 - val_acc: 0.2467 Epoch 956/1000 700/700 [==============================] - 0s 451us/step - loss: 1.3060 - acc: 0.4886 - val_loss: 2.4383 - val_acc: 0.2500 Epoch 957/1000 700/700 [==============================] - 0s 479us/step - loss: 1.3055 - acc: 0.4900 - val_loss: 2.4406 - val_acc: 0.2467 Epoch 958/1000 700/700 [==============================] - 0s 496us/step - loss: 1.3061 - acc: 0.4929 - val_loss: 2.4216 - val_acc: 0.2400 Epoch 959/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3054 - acc: 0.4957 - val_loss: 2.4360 - val_acc: 0.2500 Epoch 960/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3059 - acc: 0.4900 - val_loss: 2.4479 - val_acc: 0.2433 Epoch 961/1000 700/700 [==============================] - 0s 459us/step - loss: 1.3069 - acc: 0.4943 - val_loss: 2.4218 - val_acc: 0.2400 Epoch 962/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3053 - acc: 0.4900 - val_loss: 2.4370 - val_acc: 0.2467 Epoch 963/1000 700/700 [==============================] - 0s 499us/step - loss: 1.3043 - acc: 0.4957 - val_loss: 2.4284 - val_acc: 0.2433 Epoch 964/1000 700/700 [==============================] - 0s 471us/step - loss: 1.3055 - acc: 0.4886 - val_loss: 2.4079 - val_acc: 0.2433 Epoch 965/1000 700/700 [==============================] - 0s 494us/step - loss: 1.3062 - acc: 0.4900 - val_loss: 2.4512 - val_acc: 0.2467 Epoch 966/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3043 - acc: 0.4943 - val_loss: 2.4259 - val_acc: 0.2467 Epoch 967/1000 700/700 [==============================] - 0s 449us/step - loss: 1.3050 - acc: 0.4900 - val_loss: 2.4364 - val_acc: 0.2400 Epoch 968/1000 700/700 [==============================] - 0s 537us/step - loss: 1.3046 - acc: 0.4914 - val_loss: 2.3958 - val_acc: 0.2433 Epoch 969/1000 700/700 [==============================] - 0s 539us/step - loss: 1.3055 - acc: 0.4957 - val_loss: 2.4380 - val_acc: 0.2433 Epoch 970/1000 700/700 [==============================] - 0s 497us/step - loss: 1.3050 - acc: 0.4929 - val_loss: 2.4383 - val_acc: 0.2467 Epoch 971/1000 700/700 [==============================] - 0s 524us/step - loss: 1.3057 - acc: 0.5000 - val_loss: 2.4404 - val_acc: 0.2433 Epoch 972/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3043 - acc: 0.4971 - val_loss: 2.4513 - val_acc: 0.2467 Epoch 973/1000 700/700 [==============================] - 0s 591us/step - loss: 1.3046 - acc: 0.4929 - val_loss: 2.4207 - val_acc: 0.2467 Epoch 974/1000 700/700 [==============================] - 0s 524us/step - loss: 1.3045 - acc: 0.5014 - val_loss: 2.4483 - val_acc: 0.2467 Epoch 975/1000 700/700 [==============================] - 0s 489us/step - loss: 1.3049 - acc: 0.4914 - val_loss: 2.4389 - val_acc: 0.2467 Epoch 976/1000 700/700 [==============================] - 0s 478us/step - loss: 1.3043 - acc: 0.4943 - val_loss: 2.4358 - val_acc: 0.2400 Epoch 977/1000 700/700 [==============================] - 0s 664us/step - loss: 1.3049 - acc: 0.4943 - val_loss: 2.4226 - val_acc: 0.2467 Epoch 978/1000 700/700 [==============================] - 0s 540us/step - loss: 1.3051 - acc: 0.4886 - val_loss: 2.4470 - val_acc: 0.2467 Epoch 979/1000 700/700 [==============================] - 0s 541us/step - loss: 1.3043 - acc: 0.4914 - val_loss: 2.4295 - val_acc: 0.2467 Epoch 980/1000 700/700 [==============================] - 0s 543us/step - loss: 1.3046 - acc: 0.4957 - val_loss: 2.4337 - val_acc: 0.2400 Epoch 981/1000 700/700 [==============================] - 0s 502us/step - loss: 1.3047 - acc: 0.4886 - val_loss: 2.4299 - val_acc: 0.2433 Epoch 982/1000 700/700 [==============================] - 0s 526us/step - loss: 1.3046 - acc: 0.4914 - val_loss: 2.4447 - val_acc: 0.2433 Epoch 983/1000 700/700 [==============================] - 0s 513us/step - loss: 1.3040 - acc: 0.4943 - val_loss: 2.4310 - val_acc: 0.2433 Epoch 984/1000 700/700 [==============================] - 0s 520us/step - loss: 1.3049 - acc: 0.4886 - val_loss: 2.4289 - val_acc: 0.2433 Epoch 985/1000 700/700 [==============================] - 0s 559us/step - loss: 1.3039 - acc: 0.4886 - val_loss: 2.4583 - val_acc: 0.2533 Epoch 986/1000 700/700 [==============================] - 0s 486us/step - loss: 1.3044 - acc: 0.4929 - val_loss: 2.4295 - val_acc: 0.2467 Epoch 987/1000 700/700 [==============================] - 0s 546us/step - loss: 1.3046 - acc: 0.4900 - val_loss: 2.4616 - val_acc: 0.2467 Epoch 988/1000 700/700 [==============================] - 0s 530us/step - loss: 1.3043 - acc: 0.4914 - val_loss: 2.4408 - val_acc: 0.2433 Epoch 989/1000 700/700 [==============================] - 0s 523us/step - loss: 1.3043 - acc: 0.4929 - val_loss: 2.4442 - val_acc: 0.2433 Epoch 990/1000 700/700 [==============================] - 0s 492us/step - loss: 1.3038 - acc: 0.4929 - val_loss: 2.4266 - val_acc: 0.2433 Epoch 991/1000 700/700 [==============================] - 0s 490us/step - loss: 1.3039 - acc: 0.4957 - val_loss: 2.4255 - val_acc: 0.2467 Epoch 992/1000 700/700 [==============================] - 0s 520us/step - loss: 1.3037 - acc: 0.4900 - val_loss: 2.4263 - val_acc: 0.2467 Epoch 993/1000 700/700 [==============================] - 0s 512us/step - loss: 1.3035 - acc: 0.4914 - val_loss: 2.4576 - val_acc: 0.2467 Epoch 994/1000 700/700 [==============================] - 0s 483us/step - loss: 1.3035 - acc: 0.4986 - val_loss: 2.4452 - val_acc: 0.2467 Epoch 995/1000 700/700 [==============================] - 0s 521us/step - loss: 1.3036 - acc: 0.4914 - val_loss: 2.4384 - val_acc: 0.2433 Epoch 996/1000 700/700 [==============================] - 0s 487us/step - loss: 1.3032 - acc: 0.4929 - val_loss: 2.4405 - val_acc: 0.2500 Epoch 997/1000 700/700 [==============================] - 0s 533us/step - loss: 1.3030 - acc: 0.4829 - val_loss: 2.4574 - val_acc: 0.2467 Epoch 998/1000 700/700 [==============================] - 0s 526us/step - loss: 1.3029 - acc: 0.4914 - val_loss: 2.4499 - val_acc: 0.2433 Epoch 999/1000 700/700 [==============================] - 0s 470us/step - loss: 1.3040 - acc: 0.4900 - val_loss: 2.4274 - val_acc: 0.2400 Epoch 1000/1000 700/700 [==============================] - 0s 514us/step - loss: 1.3029 - acc: 0.4829 - val_loss: 2.4446 - val_acc: 0.2467
<keras.callbacks.History at 0x23ebed30b00>
# 早停
from keras.callbacks import EarlyStopping
es=EarlyStopping(monitor='val_loss', min_delta=0, patience=30, verbose=0, mode='auto')
es_hist=model.fit(x_train, y_train, epochs=3000, batch_size=10, validation_data=(x_val, y_val), callbacks=[es])
Train on 700 samples, validate on 300 samples Epoch 1/3000 700/700 [==============================] - 1s 783us/step - loss: 2.2576 - acc: 0.1643 - val_loss: 2.2272 - val_acc: 0.1633 Epoch 2/3000 700/700 [==============================] - 0s 518us/step - loss: 2.2072 - acc: 0.1657 - val_loss: 2.1908 - val_acc: 0.1800 Epoch 3/3000 700/700 [==============================] - 0s 526us/step - loss: 2.1730 - acc: 0.1729 - val_loss: 2.1631 - val_acc: 0.1867 Epoch 4/3000 700/700 [==============================] - 0s 452us/step - loss: 2.1441 - acc: 0.1786 - val_loss: 2.1372 - val_acc: 0.1867 Epoch 5/3000 700/700 [==============================] - 0s 556us/step - loss: 2.1177 - acc: 0.1900 - val_loss: 2.1141 - val_acc: 0.1867 Epoch 6/3000 700/700 [==============================] - 0s 484us/step - loss: 2.0940 - acc: 0.2029 - val_loss: 2.0931 - val_acc: 0.2033 Epoch 7/3000 700/700 [==============================] - 0s 452us/step - loss: 2.0721 - acc: 0.2071 - val_loss: 2.0727 - val_acc: 0.2067 Epoch 8/3000 700/700 [==============================] - 0s 525us/step - loss: 2.0520 - acc: 0.2129 - val_loss: 2.0564 - val_acc: 0.2067 Epoch 9/3000 700/700 [==============================] - 0s 472us/step - loss: 2.0342 - acc: 0.2157 - val_loss: 2.0410 - val_acc: 0.2033 Epoch 10/3000 700/700 [==============================] - 0s 456us/step - loss: 2.0190 - acc: 0.2143 - val_loss: 2.0269 - val_acc: 0.2067 Epoch 11/3000 700/700 [==============================] - ETA: 0s - loss: 1.9978 - acc: 0.224 - 0s 552us/step - loss: 2.0041 - acc: 0.2186 - val_loss: 2.0125 - val_acc: 0.2100 Epoch 12/3000 700/700 [==============================] - 0s 469us/step - loss: 1.9911 - acc: 0.2200 - val_loss: 2.0037 - val_acc: 0.2100 Epoch 13/3000 700/700 [==============================] - 0s 481us/step - loss: 1.9789 - acc: 0.2286 - val_loss: 1.9955 - val_acc: 0.2100 Epoch 14/3000 700/700 [==============================] - 0s 559us/step - loss: 1.9685 - acc: 0.2329 - val_loss: 1.9833 - val_acc: 0.2067 Epoch 15/3000 700/700 [==============================] - 0s 457us/step - loss: 1.9582 - acc: 0.2214 - val_loss: 1.9753 - val_acc: 0.2100 Epoch 16/3000 700/700 [==============================] - 0s 486us/step - loss: 1.9484 - acc: 0.2357 - val_loss: 1.9686 - val_acc: 0.2000 Epoch 17/3000 700/700 [==============================] - 0s 632us/step - loss: 1.9393 - acc: 0.2343 - val_loss: 1.9612 - val_acc: 0.2033 Epoch 18/3000 700/700 [==============================] - 0s 472us/step - loss: 1.9309 - acc: 0.2314 - val_loss: 1.9537 - val_acc: 0.2100 Epoch 19/3000 700/700 [==============================] - 0s 504us/step - loss: 1.9232 - acc: 0.2286 - val_loss: 1.9452 - val_acc: 0.2100 Epoch 20/3000 700/700 [==============================] - 0s 511us/step - loss: 1.9156 - acc: 0.2386 - val_loss: 1.9392 - val_acc: 0.2100 Epoch 21/3000 700/700 [==============================] - 0s 549us/step - loss: 1.9085 - acc: 0.2343 - val_loss: 1.9363 - val_acc: 0.2100 Epoch 22/3000 700/700 [==============================] - 0s 533us/step - loss: 1.9011 - acc: 0.2386 - val_loss: 1.9289 - val_acc: 0.2033 Epoch 23/3000 700/700 [==============================] - 0s 492us/step - loss: 1.8954 - acc: 0.2357 - val_loss: 1.9234 - val_acc: 0.2100 Epoch 24/3000 700/700 [==============================] - 0s 479us/step - loss: 1.8895 - acc: 0.2314 - val_loss: 1.9201 - val_acc: 0.2067 Epoch 25/3000 700/700 [==============================] - 0s 529us/step - loss: 1.8830 - acc: 0.2343 - val_loss: 1.9178 - val_acc: 0.2167 Epoch 26/3000 700/700 [==============================] - 0s 460us/step - loss: 1.8769 - acc: 0.2300 - val_loss: 1.9105 - val_acc: 0.2167 Epoch 27/3000 700/700 [==============================] - 0s 490us/step - loss: 1.8715 - acc: 0.2357 - val_loss: 1.9098 - val_acc: 0.2167 Epoch 28/3000 700/700 [==============================] - 0s 540us/step - loss: 1.8662 - acc: 0.2400 - val_loss: 1.9094 - val_acc: 0.2000 Epoch 29/3000 700/700 [==============================] - 0s 458us/step - loss: 1.8615 - acc: 0.2400 - val_loss: 1.9041 - val_acc: 0.1900 Epoch 30/3000 700/700 [==============================] - 0s 537us/step - loss: 1.8565 - acc: 0.2243 - val_loss: 1.8976 - val_acc: 0.2167 Epoch 31/3000 700/700 [==============================] - 0s 501us/step - loss: 1.8513 - acc: 0.2471 - val_loss: 1.8971 - val_acc: 0.1933 Epoch 32/3000 700/700 [==============================] - 0s 501us/step - loss: 1.8463 - acc: 0.2371 - val_loss: 1.8925 - val_acc: 0.1900 Epoch 33/3000 700/700 [==============================] - 0s 516us/step - loss: 1.8423 - acc: 0.2229 - val_loss: 1.8874 - val_acc: 0.2067 Epoch 34/3000 700/700 [==============================] - 0s 508us/step - loss: 1.8382 - acc: 0.2371 - val_loss: 1.8808 - val_acc: 0.1933 Epoch 35/3000 700/700 [==============================] - 0s 493us/step - loss: 1.8335 - acc: 0.2471 - val_loss: 1.8836 - val_acc: 0.1900 Epoch 36/3000 700/700 [==============================] - 0s 553us/step - loss: 1.8299 - acc: 0.2343 - val_loss: 1.8756 - val_acc: 0.1967 Epoch 37/3000 700/700 [==============================] - 0s 469us/step - loss: 1.8257 - acc: 0.2486 - val_loss: 1.8745 - val_acc: 0.1800 Epoch 38/3000 700/700 [==============================] - 0s 464us/step - loss: 1.8220 - acc: 0.2371 - val_loss: 1.8700 - val_acc: 0.1933 Epoch 39/3000 700/700 [==============================] - 0s 521us/step - loss: 1.8184 - acc: 0.2457 - val_loss: 1.8706 - val_acc: 0.1767 Epoch 40/3000 700/700 [==============================] - 0s 463us/step - loss: 1.8144 - acc: 0.2314 - val_loss: 1.8677 - val_acc: 0.2000 Epoch 41/3000 700/700 [==============================] - 0s 490us/step - loss: 1.8105 - acc: 0.2400 - val_loss: 1.8668 - val_acc: 0.1833 Epoch 42/3000 700/700 [==============================] - 0s 526us/step - loss: 1.8075 - acc: 0.2471 - val_loss: 1.8635 - val_acc: 0.1800 Epoch 43/3000 700/700 [==============================] - 0s 481us/step - loss: 1.8046 - acc: 0.2429 - val_loss: 1.8611 - val_acc: 0.1700 Epoch 44/3000 700/700 [==============================] - 0s 480us/step - loss: 1.8001 - acc: 0.2371 - val_loss: 1.8566 - val_acc: 0.1967 Epoch 45/3000 700/700 [==============================] - 0s 527us/step - loss: 1.7970 - acc: 0.2429 - val_loss: 1.8564 - val_acc: 0.1700 Epoch 46/3000 700/700 [==============================] - 0s 475us/step - loss: 1.7939 - acc: 0.2271 - val_loss: 1.8528 - val_acc: 0.1933 Epoch 47/3000 700/700 [==============================] - 0s 554us/step - loss: 1.7913 - acc: 0.2600 - val_loss: 1.8551 - val_acc: 0.1833 Epoch 48/3000 700/700 [==============================] - 0s 535us/step - loss: 1.7886 - acc: 0.2471 - val_loss: 1.8543 - val_acc: 0.1867 Epoch 49/3000 700/700 [==============================] - 0s 442us/step - loss: 1.7858 - acc: 0.2486 - val_loss: 1.8504 - val_acc: 0.1867 Epoch 50/3000 700/700 [==============================] - 0s 500us/step - loss: 1.7819 - acc: 0.2471 - val_loss: 1.8443 - val_acc: 0.2267 Epoch 51/3000 700/700 [==============================] - 0s 482us/step - loss: 1.7794 - acc: 0.2643 - val_loss: 1.8468 - val_acc: 0.1900 Epoch 52/3000 700/700 [==============================] - 0s 458us/step - loss: 1.7762 - acc: 0.2486 - val_loss: 1.8411 - val_acc: 0.1933 Epoch 53/3000 700/700 [==============================] - 0s 503us/step - loss: 1.7744 - acc: 0.2514 - val_loss: 1.8486 - val_acc: 0.2000 Epoch 54/3000 700/700 [==============================] - 0s 511us/step - loss: 1.7716 - acc: 0.2700 - val_loss: 1.8472 - val_acc: 0.1800 Epoch 55/3000 700/700 [==============================] - 0s 460us/step - loss: 1.7687 - acc: 0.2500 - val_loss: 1.8364 - val_acc: 0.2033 Epoch 56/3000 700/700 [==============================] - 0s 547us/step - loss: 1.7672 - acc: 0.2543 - val_loss: 1.8430 - val_acc: 0.2200 Epoch 57/3000 700/700 [==============================] - 0s 477us/step - loss: 1.7641 - acc: 0.2714 - val_loss: 1.8390 - val_acc: 0.2167 Epoch 58/3000 700/700 [==============================] - 0s 470us/step - loss: 1.7616 - acc: 0.2557 - val_loss: 1.8347 - val_acc: 0.2267 Epoch 59/3000 700/700 [==============================] - 0s 536us/step - loss: 1.7590 - acc: 0.2671 - val_loss: 1.8329 - val_acc: 0.2233 Epoch 60/3000 700/700 [==============================] - 0s 461us/step - loss: 1.7552 - acc: 0.2614 - val_loss: 1.8256 - val_acc: 0.2500 Epoch 61/3000 700/700 [==============================] - 0s 462us/step - loss: 1.7566 - acc: 0.2814 - val_loss: 1.8336 - val_acc: 0.2400 Epoch 62/3000 700/700 [==============================] - 0s 513us/step - loss: 1.7531 - acc: 0.2729 - val_loss: 1.8312 - val_acc: 0.2267 Epoch 63/3000 700/700 [==============================] - 0s 482us/step - loss: 1.7505 - acc: 0.2857 - val_loss: 1.8299 - val_acc: 0.2000 Epoch 64/3000 700/700 [==============================] - 0s 479us/step - loss: 1.7484 - acc: 0.2800 - val_loss: 1.8268 - val_acc: 0.2200 Epoch 65/3000 700/700 [==============================] - 0s 527us/step - loss: 1.7457 - acc: 0.2814 - val_loss: 1.8298 - val_acc: 0.2033 Epoch 66/3000 700/700 [==============================] - 0s 470us/step - loss: 1.7439 - acc: 0.2786 - val_loss: 1.8296 - val_acc: 0.2067 Epoch 67/3000 700/700 [==============================] - 0s 484us/step - loss: 1.7419 - acc: 0.2700 - val_loss: 1.8299 - val_acc: 0.2067 Epoch 68/3000 700/700 [==============================] - 0s 525us/step - loss: 1.7405 - acc: 0.2729 - val_loss: 1.8238 - val_acc: 0.2000 Epoch 69/3000 700/700 [==============================] - 0s 485us/step - loss: 1.7376 - acc: 0.2814 - val_loss: 1.8298 - val_acc: 0.2167 Epoch 70/3000 700/700 [==============================] - 0s 480us/step - loss: 1.7356 - acc: 0.2857 - val_loss: 1.8269 - val_acc: 0.2433 Epoch 71/3000 700/700 [==============================] - 0s 511us/step - loss: 1.7345 - acc: 0.2800 - val_loss: 1.8214 - val_acc: 0.2167 Epoch 72/3000 700/700 [==============================] - 0s 438us/step - loss: 1.7328 - acc: 0.2857 - val_loss: 1.8226 - val_acc: 0.2133 Epoch 73/3000 700/700 [==============================] - 0s 461us/step - loss: 1.7298 - acc: 0.2800 - val_loss: 1.8252 - val_acc: 0.2467 Epoch 74/3000 700/700 [==============================] - 0s 519us/step - loss: 1.7283 - acc: 0.2857 - val_loss: 1.8257 - val_acc: 0.1967 Epoch 75/3000 700/700 [==============================] - 0s 498us/step - loss: 1.7268 - acc: 0.2786 - val_loss: 1.8190 - val_acc: 0.2267 Epoch 76/3000 700/700 [==============================] - 0s 489us/step - loss: 1.7255 - acc: 0.2857 - val_loss: 1.8196 - val_acc: 0.2233 Epoch 77/3000 700/700 [==============================] - 0s 504us/step - loss: 1.7228 - acc: 0.3057 - val_loss: 1.8232 - val_acc: 0.2033 Epoch 78/3000 700/700 [==============================] - 0s 449us/step - loss: 1.7212 - acc: 0.2857 - val_loss: 1.8187 - val_acc: 0.1933 Epoch 79/3000 700/700 [==============================] - 0s 593us/step - loss: 1.7199 - acc: 0.2829 - val_loss: 1.8203 - val_acc: 0.2433 Epoch 80/3000 700/700 [==============================] - 0s 647us/step - loss: 1.7188 - acc: 0.2929 - val_loss: 1.8197 - val_acc: 0.2067 Epoch 81/3000 700/700 [==============================] - 0s 560us/step - loss: 1.7165 - acc: 0.2843 - val_loss: 1.8256 - val_acc: 0.2067 Epoch 82/3000 700/700 [==============================] - 0s 540us/step - loss: 1.7142 - acc: 0.2829 - val_loss: 1.8144 - val_acc: 0.2667 Epoch 83/3000 700/700 [==============================] - 0s 496us/step - loss: 1.7132 - acc: 0.2857 - val_loss: 1.8190 - val_acc: 0.2400 Epoch 84/3000 700/700 [==============================] - 0s 515us/step - loss: 1.7127 - acc: 0.2986 - val_loss: 1.8220 - val_acc: 0.2167 Epoch 85/3000 700/700 [==============================] - 0s 488us/step - loss: 1.7097 - acc: 0.2971 - val_loss: 1.8159 - val_acc: 0.2267 Epoch 86/3000 700/700 [==============================] - 0s 484us/step - loss: 1.7082 - acc: 0.2800 - val_loss: 1.8136 - val_acc: 0.2633 Epoch 87/3000 700/700 [==============================] - 0s 515us/step - loss: 1.7051 - acc: 0.3100 - val_loss: 1.8191 - val_acc: 0.2733 Epoch 88/3000 700/700 [==============================] - 0s 455us/step - loss: 1.7062 - acc: 0.3043 - val_loss: 1.8125 - val_acc: 0.2433 Epoch 89/3000 700/700 [==============================] - 0s 480us/step - loss: 1.7043 - acc: 0.3043 - val_loss: 1.8167 - val_acc: 0.2167 Epoch 90/3000 700/700 [==============================] - 0s 481us/step - loss: 1.7027 - acc: 0.2843 - val_loss: 1.8151 - val_acc: 0.2233 Epoch 91/3000 700/700 [==============================] - 0s 560us/step - loss: 1.7017 - acc: 0.3086 - val_loss: 1.8185 - val_acc: 0.2167 Epoch 92/3000 700/700 [==============================] - 0s 488us/step - loss: 1.6987 - acc: 0.3129 - val_loss: 1.8215 - val_acc: 0.2067 Epoch 93/3000 700/700 [==============================] - 0s 540us/step - loss: 1.6980 - acc: 0.3071 - val_loss: 1.8173 - val_acc: 0.2767 Epoch 94/3000 700/700 [==============================] - 0s 502us/step - loss: 1.6970 - acc: 0.3157 - val_loss: 1.8176 - val_acc: 0.2100 Epoch 95/3000 700/700 [==============================] - 0s 471us/step - loss: 1.6943 - acc: 0.2986 - val_loss: 1.8194 - val_acc: 0.2833 Epoch 96/3000 700/700 [==============================] - 0s 500us/step - loss: 1.6948 - acc: 0.3014 - val_loss: 1.8095 - val_acc: 0.2233 Epoch 97/3000 700/700 [==============================] - 0s 477us/step - loss: 1.6930 - acc: 0.3057 - val_loss: 1.8228 - val_acc: 0.2300 Epoch 98/3000 700/700 [==============================] - 0s 481us/step - loss: 1.6921 - acc: 0.3043 - val_loss: 1.8117 - val_acc: 0.2200 Epoch 99/3000 700/700 [==============================] - 0s 493us/step - loss: 1.6901 - acc: 0.3129 - val_loss: 1.8252 - val_acc: 0.2233 Epoch 100/3000 700/700 [==============================] - 0s 515us/step - loss: 1.6890 - acc: 0.3129 - val_loss: 1.8210 - val_acc: 0.2267 Epoch 101/3000 700/700 [==============================] - 0s 473us/step - loss: 1.6878 - acc: 0.3143 - val_loss: 1.8190 - val_acc: 0.2200 Epoch 102/3000 700/700 [==============================] - 0s 516us/step - loss: 1.6877 - acc: 0.3014 - val_loss: 1.8219 - val_acc: 0.2300 Epoch 103/3000 700/700 [==============================] - 0s 490us/step - loss: 1.6843 - acc: 0.3000 - val_loss: 1.8102 - val_acc: 0.2500 Epoch 104/3000 700/700 [==============================] - 0s 520us/step - loss: 1.6842 - acc: 0.3200 - val_loss: 1.8122 - val_acc: 0.2200 Epoch 105/3000 700/700 [==============================] - 0s 534us/step - loss: 1.6821 - acc: 0.3071 - val_loss: 1.8063 - val_acc: 0.2067 Epoch 106/3000 700/700 [==============================] - 0s 469us/step - loss: 1.6814 - acc: 0.3114 - val_loss: 1.8173 - val_acc: 0.2200 Epoch 107/3000 700/700 [==============================] - 0s 523us/step - loss: 1.6805 - acc: 0.3071 - val_loss: 1.8228 - val_acc: 0.2367 Epoch 108/3000 700/700 [==============================] - 0s 510us/step - loss: 1.6784 - acc: 0.3071 - val_loss: 1.8167 - val_acc: 0.2767 Epoch 109/3000 700/700 [==============================] - 0s 498us/step - loss: 1.6782 - acc: 0.3143 - val_loss: 1.8178 - val_acc: 0.2300 Epoch 110/3000 700/700 [==============================] - 0s 540us/step - loss: 1.6775 - acc: 0.3171 - val_loss: 1.8147 - val_acc: 0.2133 Epoch 111/3000 700/700 [==============================] - 0s 510us/step - loss: 1.6775 - acc: 0.3043 - val_loss: 1.8173 - val_acc: 0.2233 Epoch 112/3000 700/700 [==============================] - 0s 474us/step - loss: 1.6745 - acc: 0.3129 - val_loss: 1.8193 - val_acc: 0.2267 Epoch 113/3000 700/700 [==============================] - 0s 505us/step - loss: 1.6737 - acc: 0.3100 - val_loss: 1.8196 - val_acc: 0.2300 Epoch 114/3000 700/700 [==============================] - 0s 481us/step - loss: 1.6724 - acc: 0.3014 - val_loss: 1.8221 - val_acc: 0.2300 Epoch 115/3000 700/700 [==============================] - 0s 467us/step - loss: 1.6711 - acc: 0.3071 - val_loss: 1.8128 - val_acc: 0.2333 Epoch 116/3000 700/700 [==============================] - 0s 509us/step - loss: 1.6703 - acc: 0.3157 - val_loss: 1.8255 - val_acc: 0.2300 Epoch 117/3000 700/700 [==============================] - 0s 476us/step - loss: 1.6694 - acc: 0.3100 - val_loss: 1.8228 - val_acc: 0.2333 Epoch 118/3000 700/700 [==============================] - 0s 485us/step - loss: 1.6682 - acc: 0.3114 - val_loss: 1.8262 - val_acc: 0.2333 Epoch 119/3000 700/700 [==============================] - 0s 644us/step - loss: 1.6670 - acc: 0.3257 - val_loss: 1.8216 - val_acc: 0.2200 Epoch 120/3000 700/700 [==============================] - 0s 617us/step - loss: 1.6661 - acc: 0.3129 - val_loss: 1.8219 - val_acc: 0.2200 Epoch 121/3000 700/700 [==============================] - 0s 531us/step - loss: 1.6646 - acc: 0.3071 - val_loss: 1.8132 - val_acc: 0.2233 Epoch 122/3000 700/700 [==============================] - 0s 494us/step - loss: 1.6637 - acc: 0.3229 - val_loss: 1.8194 - val_acc: 0.2200 Epoch 123/3000 700/700 [==============================] - 0s 481us/step - loss: 1.6629 - acc: 0.3100 - val_loss: 1.8139 - val_acc: 0.2200 Epoch 124/3000 700/700 [==============================] - 0s 530us/step - loss: 1.6619 - acc: 0.3143 - val_loss: 1.8187 - val_acc: 0.2267 Epoch 125/3000 700/700 [==============================] - 0s 461us/step - loss: 1.6606 - acc: 0.3257 - val_loss: 1.8212 - val_acc: 0.2333 Epoch 126/3000 700/700 [==============================] - 0s 478us/step - loss: 1.6592 - acc: 0.3143 - val_loss: 1.8245 - val_acc: 0.2233 Epoch 127/3000 700/700 [==============================] - 0s 504us/step - loss: 1.6583 - acc: 0.3129 - val_loss: 1.8147 - val_acc: 0.2333 Epoch 128/3000 700/700 [==============================] - 0s 471us/step - loss: 1.6565 - acc: 0.3300 - val_loss: 1.8280 - val_acc: 0.2300 Epoch 129/3000 700/700 [==============================] - 0s 482us/step - loss: 1.6570 - acc: 0.3143 - val_loss: 1.8193 - val_acc: 0.2200 Epoch 130/3000 700/700 [==============================] - 0s 490us/step - loss: 1.6548 - acc: 0.3214 - val_loss: 1.8124 - val_acc: 0.2533 Epoch 131/3000 700/700 [==============================] - 0s 448us/step - loss: 1.6547 - acc: 0.3229 - val_loss: 1.8202 - val_acc: 0.2500 Epoch 132/3000 700/700 [==============================] - 0s 543us/step - loss: 1.6545 - acc: 0.3200 - val_loss: 1.8133 - val_acc: 0.2267 Epoch 133/3000 700/700 [==============================] - 0s 556us/step - loss: 1.6524 - acc: 0.3143 - val_loss: 1.8317 - val_acc: 0.2400 Epoch 134/3000 700/700 [==============================] - 0s 473us/step - loss: 1.6514 - acc: 0.3214 - val_loss: 1.8226 - val_acc: 0.2733 Epoch 135/3000 700/700 [==============================] - 0s 530us/step - loss: 1.6512 - acc: 0.3314 - val_loss: 1.8233 - val_acc: 0.2267
fig, loss_ax=plt.subplots()
acc_ax=loss_ax.twinx()
loss_ax.plot(es_hist.history['loss'], 'y', label='train loss')
loss_ax.plot(es_hist.history['val_loss'], 'r', label='val loss')
acc_ax.plot(es_hist.history['acc'], 'b', label='train acc')
acc_ax.plot(es_hist.history['val_acc'], 'g', label='val acc')
loss_ax.set_xlabel('epoch')
loss_ax.set_ylabel('loss')
acc_ax.set_ylabel('accuracy')
loss_ax.legend(loc='upper left')
acc_ax.legend(loc='lower left')
<matplotlib.legend.Legend at 0x23ec6f96048>