0
Train on 160 samples, validate on 54 samples
Epoch 1/100
160/160 [==============================] - 0s 736us/step - loss: 4.1849 - acc: 0.7250 - val_loss: 2.9947 - val_acc: 0.8148
Epoch 2/100
160/160 [==============================] - 0s 644us/step - loss: 4.1802 - acc: 0.7313 - val_loss: 2.9951 - val_acc: 0.8148
Epoch 3/100
160/160 [==============================] - 0s 628us/step - loss: 4.1739 - acc: 0.7313 - val_loss: 2.9973 - val_acc: 0.8148
Epoch 4/100
160/160 [==============================] - 0s 627us/step - loss: 4.1787 - acc: 0.7313 - val_loss: 3.0005 - val_acc: 0.8148
Epoch 5/100
160/160 [==============================] - 0s 623us/step - loss: 4.1840 - acc: 0.7188 - val_loss: 2.9945 - val_acc: 0.8148
Epoch 6/100
160/160 [==============================] - 0s 868us/step - loss: 4.2639 - acc: 0.6875 - val_loss: 2.9931 - val_acc: 0.8148
Epoch 7/100
160/160 [==============================] - 0s 1ms/step - loss: 4.2579 - acc: 0.6875 - val_loss: 3.0032 - val_acc: 0.8148
Epoch 8/100
160/160 [==============================] - 0s 1ms/step - loss: 4.1817 - acc: 0.7250 - val_loss: 2.9923 - val_acc: 0.8148
Epoch 9/100
160/160 [==============================] - 0s 914us/step - loss: 4.1740 - acc: 0.7313 - val_loss: 2.9921 - val_acc: 0.8148
Epoch 10/100
160/160 [==============================] - 0s 664us/step - loss: 4.1872 - acc: 0.7250 - val_loss: 2.9950 - val_acc: 0.8148
Epoch 11/100
160/160 [==============================] - 0s 1ms/step - loss: 4.1894 - acc: 0.7125 - val_loss: 2.9924 - val_acc: 0.8148
Epoch 12/100
160/160 [==============================] - 0s 2ms/step - loss: 4.1716 - acc: 0.7375 - val_loss: 3.0008 - val_acc: 0.8148
Epoch 13/100
160/160 [==============================] - 0s 1ms/step - loss: 4.1936 - acc: 0.7188 - val_loss: 2.9946 - val_acc: 0.8148
Epoch 14/100
160/160 [==============================] - 0s 1ms/step - loss: 4.1853 - acc: 0.7188 - val_loss: 2.9921 - val_acc: 0.8148
Epoch 15/100
160/160 [==============================] - 0s 618us/step - loss: 4.1838 - acc: 0.7188 - val_loss: 2.9965 - val_acc: 0.8148
Epoch 16/100
160/160 [==============================] - 0s 977us/step - loss: 4.1786 - acc: 0.7313 - val_loss: 2.9913 - val_acc: 0.8148
Epoch 17/100
160/160 [==============================] - 0s 939us/step - loss: 4.1714 - acc: 0.7438 - val_loss: 2.9914 - val_acc: 0.8148
Epoch 18/100
160/160 [==============================] - 0s 1ms/step - loss: 4.1727 - acc: 0.7250 - val_loss: 2.9916 - val_acc: 0.8148
Epoch 19/100
160/160 [==============================] - 0s 846us/step - loss: 4.1698 - acc: 0.7375 - val_loss: 2.9994 - val_acc: 0.8148
Epoch 20/100
160/160 [==============================] - 0s 684us/step - loss: 4.2183 - acc: 0.7063 - val_loss: 2.9907 - val_acc: 0.8148
Epoch 21/100
160/160 [==============================] - 0s 679us/step - loss: 4.1713 - acc: 0.7375 - val_loss: 2.9964 - val_acc: 0.8148
Epoch 22/100
160/160 [==============================] - 0s 848us/step - loss: 4.1883 - acc: 0.7188 - val_loss: 2.9907 - val_acc: 0.8148
Epoch 23/100
160/160 [==============================] - 0s 922us/step - loss: 4.1906 - acc: 0.7188 - val_loss: 2.9947 - val_acc: 0.8148
Epoch 24/100
160/160 [==============================] - 0s 844us/step - loss: 4.1818 - acc: 0.7250 - val_loss: 2.9937 - val_acc: 0.8148
Epoch 25/100
160/160 [==============================] - 0s 614us/step - loss: 4.1818 - acc: 0.7250 - val_loss: 2.9905 - val_acc: 0.8148
Epoch 26/100
160/160 [==============================] - 0s 553us/step - loss: 4.1807 - acc: 0.7313 - val_loss: 2.9994 - val_acc: 0.8148
Epoch 27/100
160/160 [==============================] - 0s 586us/step - loss: 4.2076 - acc: 0.7063 - val_loss: 2.9954 - val_acc: 0.8148
Epoch 28/100
160/160 [==============================] - 0s 826us/step - loss: 4.1937 - acc: 0.7250 - val_loss: 2.9921 - val_acc: 0.8148
Epoch 29/100
160/160 [==============================] - 0s 571us/step - loss: 4.1809 - acc: 0.7313 - val_loss: 3.0040 - val_acc: 0.8148
Epoch 30/100
160/160 [==============================] - 0s 581us/step - loss: 4.1899 - acc: 0.7125 - val_loss: 3.0244 - val_acc: 0.8148
Epoch 31/100
160/160 [==============================] - 0s 577us/step - loss: 4.2224 - acc: 0.7125 - val_loss: 2.9928 - val_acc: 0.8148
Epoch 32/100
160/160 [==============================] - 0s 582us/step - loss: 4.1827 - acc: 0.7250 - val_loss: 2.9912 - val_acc: 0.8148
Epoch 33/100
160/160 [==============================] - 0s 544us/step - loss: 4.1767 - acc: 0.7188 - val_loss: 2.9905 - val_acc: 0.8148
Epoch 34/100
160/160 [==============================] - 0s 596us/step - loss: 4.2181 - acc: 0.6875 - val_loss: 3.0045 - val_acc: 0.8148
Epoch 35/100
160/160 [==============================] - 0s 607us/step - loss: 4.1719 - acc: 0.7313 - val_loss: 2.9908 - val_acc: 0.8148
Epoch 36/100
160/160 [==============================] - 0s 588us/step - loss: 4.1807 - acc: 0.7188 - val_loss: 3.0022 - val_acc: 0.8148
Epoch 37/100
160/160 [==============================] - 0s 641us/step - loss: 4.1689 - acc: 0.7313 - val_loss: 2.9931 - val_acc: 0.8148
Epoch 38/100
160/160 [==============================] - 0s 682us/step - loss: 4.1660 - acc: 0.7375 - val_loss: 2.9961 - val_acc: 0.8148
Epoch 39/100
160/160 [==============================] - 0s 661us/step - loss: 4.1707 - acc: 0.7313 - val_loss: 3.0065 - val_acc: 0.7963
Epoch 40/100
160/160 [==============================] - 0s 614us/step - loss: 4.1951 - acc: 0.7125 - val_loss: 2.9930 - val_acc: 0.8148
Epoch 41/100
160/160 [==============================] - 0s 562us/step - loss: 4.2239 - acc: 0.7125 - val_loss: 3.0008 - val_acc: 0.8148
Epoch 42/100
160/160 [==============================] - 0s 544us/step - loss: 4.1766 - acc: 0.7250 - val_loss: 3.0012 - val_acc: 0.8148
Epoch 43/100
160/160 [==============================] - 0s 549us/step - loss: 4.1766 - acc: 0.7375 - val_loss: 2.9923 - val_acc: 0.8148
Epoch 44/100
160/160 [==============================] - 0s 564us/step - loss: 4.1906 - acc: 0.7188 - val_loss: 2.9939 - val_acc: 0.8148
Epoch 45/100
160/160 [==============================] - 0s 671us/step - loss: 4.2014 - acc: 0.7188 - val_loss: 2.9985 - val_acc: 0.8148
Epoch 46/100
160/160 [==============================] - 0s 636us/step - loss: 4.2109 - acc: 0.7063 - val_loss: 3.0085 - val_acc: 0.8148
Epoch 47/100
160/160 [==============================] - 0s 591us/step - loss: 4.1977 - acc: 0.7125 - val_loss: 2.9935 - val_acc: 0.8148
Epoch 48/100
160/160 [==============================] - 0s 800us/step - loss: 4.1707 - acc: 0.7250 - val_loss: 2.9907 - val_acc: 0.8148
Epoch 49/100
160/160 [==============================] - 0s 586us/step - loss: 4.1690 - acc: 0.7250 - val_loss: 2.9886 - val_acc: 0.8148
Epoch 50/100
160/160 [==============================] - 0s 580us/step - loss: 4.1700 - acc: 0.7250 - val_loss: 2.9894 - val_acc: 0.8148
Epoch 51/100
160/160 [==============================] - 0s 551us/step - loss: 4.1673 - acc: 0.7313 - val_loss: 2.9896 - val_acc: 0.8148
Epoch 52/100
160/160 [==============================] - 0s 617us/step - loss: 4.1654 - acc: 0.7438 - val_loss: 2.9889 - val_acc: 0.8148
Epoch 53/100
160/160 [==============================] - ETA: 0s - loss: 4.1428 - acc: 0.744 - 0s 605us/step - loss: 4.1666 - acc: 0.7313 - val_loss: 2.9980 - val_acc: 0.8148
Epoch 54/100
160/160 [==============================] - 0s 566us/step - loss: 4.1651 - acc: 0.7375 - val_loss: 2.9892 - val_acc: 0.8148
Epoch 55/100
160/160 [==============================] - 0s 611us/step - loss: 4.1656 - acc: 0.7375 - val_loss: 2.9981 - val_acc: 0.8148
Epoch 56/100
160/160 [==============================] - ETA: 0s - loss: 4.8745 - acc: 0.681 - 0s 576us/step - loss: 4.1728 - acc: 0.7188 - val_loss: 2.9891 - val_acc: 0.8148
Epoch 57/100
160/160 [==============================] - 0s 640us/step - loss: 4.1665 - acc: 0.7313 - val_loss: 3.0000 - val_acc: 0.8148
Epoch 58/100
160/160 [==============================] - 0s 646us/step - loss: 4.1990 - acc: 0.7125 - val_loss: 3.0042 - val_acc: 0.8148
Epoch 59/100
160/160 [==============================] - 0s 551us/step - loss: 4.1894 - acc: 0.7188 - val_loss: 2.9966 - val_acc: 0.8148
Epoch 60/100
160/160 [==============================] - 0s 568us/step - loss: 4.1650 - acc: 0.7375 - val_loss: 2.9903 - val_acc: 0.8148
Epoch 61/100
160/160 [==============================] - 0s 556us/step - loss: 4.1849 - acc: 0.7063 - val_loss: 2.9914 - val_acc: 0.8148
Epoch 62/100
160/160 [==============================] - 0s 600us/step - loss: 4.1704 - acc: 0.7313 - val_loss: 2.9888 - val_acc: 0.8148
Epoch 63/100
160/160 [==============================] - 0s 586us/step - loss: 4.1667 - acc: 0.7438 - val_loss: 3.0599 - val_acc: 0.7407
Epoch 64/100
160/160 [==============================] - 0s 554us/step - loss: 4.3026 - acc: 0.6875 - val_loss: 2.9918 - val_acc: 0.8148
Epoch 65/100
160/160 [==============================] - 0s 609us/step - loss: 4.2627 - acc: 0.6750 - val_loss: 2.9985 - val_acc: 0.8148
Epoch 66/100
160/160 [==============================] - 0s 585us/step - loss: 4.1898 - acc: 0.7063 - val_loss: 2.9934 - val_acc: 0.8148
Epoch 67/100
160/160 [==============================] - 0s 595us/step - loss: 4.1731 - acc: 0.7250 - val_loss: 2.9884 - val_acc: 0.8148
Epoch 68/100
160/160 [==============================] - 0s 768us/step - loss: 4.1729 - acc: 0.7313 - val_loss: 2.9880 - val_acc: 0.8148
Epoch 69/100
160/160 [==============================] - 0s 555us/step - loss: 4.1736 - acc: 0.7188 - val_loss: 2.9887 - val_acc: 0.8148
Epoch 70/100
160/160 [==============================] - 0s 559us/step - loss: 4.1651 - acc: 0.7375 - val_loss: 2.9973 - val_acc: 0.8148
Epoch 71/100
160/160 [==============================] - 0s 572us/step - loss: 4.1819 - acc: 0.7125 - val_loss: 2.9894 - val_acc: 0.8148
Epoch 72/100
160/160 [==============================] - 0s 614us/step - loss: 4.1612 - acc: 0.7375 - val_loss: 2.9881 - val_acc: 0.8148
Epoch 73/100
160/160 [==============================] - 0s 638us/step - loss: 4.1614 - acc: 0.7438 - val_loss: 2.9875 - val_acc: 0.8148
Epoch 74/100
160/160 [==============================] - 0s 617us/step - loss: 4.1593 - acc: 0.7438 - val_loss: 2.9885 - val_acc: 0.8148
Epoch 75/100
160/160 [==============================] - 0s 574us/step - loss: 4.1685 - acc: 0.7313 - val_loss: 2.9881 - val_acc: 0.8148
Epoch 76/100
160/160 [==============================] - 0s 656us/step - loss: 4.1566 - acc: 0.7438 - val_loss: 2.9903 - val_acc: 0.8148
Epoch 77/100
160/160 [==============================] - 0s 651us/step - loss: 4.1651 - acc: 0.7375 - val_loss: 2.9914 - val_acc: 0.8148
Epoch 78/100
160/160 [==============================] - 0s 620us/step - loss: 4.1655 - acc: 0.7313 - val_loss: 2.9929 - val_acc: 0.8148
Epoch 79/100
160/160 [==============================] - 0s 566us/step - loss: 4.1725 - acc: 0.7313 - val_loss: 2.9886 - val_acc: 0.8148
Epoch 80/100
160/160 [==============================] - 0s 562us/step - loss: 4.1696 - acc: 0.7250 - val_loss: 3.0131 - val_acc: 0.7963
Epoch 81/100
160/160 [==============================] - 0s 536us/step - loss: 4.1761 - acc: 0.7250 - val_loss: 2.9909 - val_acc: 0.8148
Epoch 82/100
160/160 [==============================] - 0s 536us/step - loss: 4.1665 - acc: 0.7313 - val_loss: 2.9897 - val_acc: 0.8148
Epoch 83/100
160/160 [==============================] - 0s 566us/step - loss: 4.1603 - acc: 0.7375 - val_loss: 2.9877 - val_acc: 0.8148
Epoch 84/100
160/160 [==============================] - 0s 560us/step - loss: 4.1601 - acc: 0.7375 - val_loss: 2.9877 - val_acc: 0.8148
Epoch 85/100
160/160 [==============================] - 0s 559us/step - loss: 4.1623 - acc: 0.7250 - val_loss: 2.9905 - val_acc: 0.8148
Epoch 86/100
160/160 [==============================] - 0s 540us/step - loss: 4.1619 - acc: 0.7375 - val_loss: 2.9874 - val_acc: 0.8148
Epoch 87/100
160/160 [==============================] - 0s 547us/step - loss: 4.1597 - acc: 0.7313 - val_loss: 2.9872 - val_acc: 0.8148
Epoch 88/100
160/160 [==============================] - 0s 994us/step - loss: 4.1673 - acc: 0.7313 - val_loss: 2.9912 - val_acc: 0.8148
Epoch 89/100
160/160 [==============================] - 0s 566us/step - loss: 4.1876 - acc: 0.7125 - val_loss: 2.9897 - val_acc: 0.8148
Epoch 90/100
160/160 [==============================] - 0s 553us/step - loss: 4.1761 - acc: 0.7188 - val_loss: 3.0296 - val_acc: 0.7963
Epoch 91/100
160/160 [==============================] - 0s 574us/step - loss: 4.1773 - acc: 0.7250 - val_loss: 2.9877 - val_acc: 0.8148
Epoch 92/100
160/160 [==============================] - 0s 604us/step - loss: 4.1649 - acc: 0.7313 - val_loss: 2.9870 - val_acc: 0.8148
Epoch 93/100
160/160 [==============================] - 0s 596us/step - loss: 4.1739 - acc: 0.7250 - val_loss: 3.0658 - val_acc: 0.7593
Epoch 94/100
160/160 [==============================] - 0s 600us/step - loss: 4.1646 - acc: 0.7375 - val_loss: 2.9871 - val_acc: 0.8148
Epoch 95/100
160/160 [==============================] - ETA: 0s - loss: 4.4386 - acc: 0.700 - 0s 590us/step - loss: 4.1650 - acc: 0.7250 - val_loss: 2.9901 - val_acc: 0.8148
Epoch 96/100
160/160 [==============================] - 0s 638us/step - loss: 4.1609 - acc: 0.7375 - val_loss: 2.9877 - val_acc: 0.8148
Epoch 97/100
160/160 [==============================] - 0s 604us/step - loss: 4.2118 - acc: 0.7125 - val_loss: 2.9894 - val_acc: 0.8148
Epoch 98/100
160/160 [==============================] - 0s 612us/step - loss: 4.1744 - acc: 0.7188 - val_loss: 2.9878 - val_acc: 0.8148
Epoch 99/100
160/160 [==============================] - 0s 587us/step - loss: 4.1613 - acc: 0.7375 - val_loss: 2.9887 - val_acc: 0.8148
Epoch 100/100
160/160 [==============================] - 0s 605us/step - loss: 4.1672 - acc: 0.7313 - val_loss: 2.9994 - val_acc: 0.8148
20
Train on 160 samples, validate on 54 samples
Epoch 1/100
160/160 [==============================] - 0s 591us/step - loss: 4.1936 - acc: 0.7375 - val_loss: 2.9875 - val_acc: 0.8148
Epoch 2/100
160/160 [==============================] - ETA: 0s - loss: 4.3097 - acc: 0.727 - 0s 577us/step - loss: 4.1924 - acc: 0.7375 - val_loss: 2.9884 - val_acc: 0.8148
Epoch 3/100
160/160 [==============================] - 0s 604us/step - loss: 4.1946 - acc: 0.7438 - val_loss: 2.9886 - val_acc: 0.8148
Epoch 4/100
160/160 [==============================] - 0s 689us/step - loss: 4.1989 - acc: 0.7188 - val_loss: 2.9904 - val_acc: 0.8148
Epoch 5/100
160/160 [==============================] - 0s 578us/step - loss: 4.1928 - acc: 0.7438 - val_loss: 2.9889 - val_acc: 0.8148
Epoch 6/100
160/160 [==============================] - 0s 592us/step - loss: 4.1885 - acc: 0.7375 - val_loss: 2.9904 - val_acc: 0.8148
Epoch 7/100
160/160 [==============================] - 0s 688us/step - loss: 4.1963 - acc: 0.7250 - val_loss: 2.9869 - val_acc: 0.8148
Epoch 8/100
160/160 [==============================] - 0s 563us/step - loss: 4.2096 - acc: 0.7063 - val_loss: 3.0246 - val_acc: 0.7963
Epoch 9/100
160/160 [==============================] - ETA: 0s - loss: 4.0476 - acc: 0.742 - 0s 637us/step - loss: 4.1917 - acc: 0.7375 - val_loss: 2.9888 - val_acc: 0.8148
Epoch 10/100
160/160 [==============================] - 0s 675us/step - loss: 4.1899 - acc: 0.7438 - val_loss: 2.9890 - val_acc: 0.8148
Epoch 11/100
160/160 [==============================] - 0s 600us/step - loss: 4.1862 - acc: 0.7438 - val_loss: 2.9883 - val_acc: 0.8148
Epoch 12/100
160/160 [==============================] - 0s 549us/step - loss: 4.1866 - acc: 0.7313 - val_loss: 2.9867 - val_acc: 0.8148
Epoch 13/100
160/160 [==============================] - 0s 595us/step - loss: 4.1894 - acc: 0.7313 - val_loss: 2.9865 - val_acc: 0.8148
Epoch 14/100
160/160 [==============================] - 0s 586us/step - loss: 4.1873 - acc: 0.7438 - val_loss: 2.9865 - val_acc: 0.8148
Epoch 15/100
160/160 [==============================] - 0s 580us/step - loss: 4.1902 - acc: 0.7250 - val_loss: 2.9863 - val_acc: 0.8148
Epoch 16/100
160/160 [==============================] - 0s 587us/step - loss: 4.1916 - acc: 0.7250 - val_loss: 2.9898 - val_acc: 0.8148
Epoch 17/100
160/160 [==============================] - 0s 656us/step - loss: 4.1882 - acc: 0.7375 - val_loss: 2.9889 - val_acc: 0.8148
Epoch 18/100
160/160 [==============================] - 0s 585us/step - loss: 4.1838 - acc: 0.7438 - val_loss: 2.9863 - val_acc: 0.8148
Epoch 19/100
160/160 [==============================] - 0s 589us/step - loss: 4.1878 - acc: 0.7375 - val_loss: 2.9900 - val_acc: 0.8148
Epoch 20/100
160/160 [==============================] - 0s 567us/step - loss: 4.1882 - acc: 0.7313 - val_loss: 2.9943 - val_acc: 0.8148
Epoch 21/100
160/160 [==============================] - 0s 572us/step - loss: 4.1829 - acc: 0.7313 - val_loss: 2.9862 - val_acc: 0.8148
Epoch 22/100
160/160 [==============================] - ETA: 0s - loss: 4.1792 - acc: 0.711 - 0s 707us/step - loss: 4.1912 - acc: 0.7188 - val_loss: 2.9861 - val_acc: 0.8148
Epoch 23/100
160/160 [==============================] - 0s 585us/step - loss: 4.1893 - acc: 0.7375 - val_loss: 2.9892 - val_acc: 0.8148
Epoch 24/100
160/160 [==============================] - 0s 595us/step - loss: 4.1824 - acc: 0.7375 - val_loss: 2.9945 - val_acc: 0.8148
Epoch 25/100
160/160 [==============================] - 0s 574us/step - loss: 4.1892 - acc: 0.7250 - val_loss: 2.9881 - val_acc: 0.8148
Epoch 26/100
160/160 [==============================] - 0s 556us/step - loss: 4.1805 - acc: 0.7438 - val_loss: 2.9887 - val_acc: 0.8148
Epoch 27/100
160/160 [==============================] - 0s 648us/step - loss: 4.1837 - acc: 0.7438 - val_loss: 2.9861 - val_acc: 0.8148
Epoch 28/100
160/160 [==============================] - 0s 628us/step - loss: 4.1808 - acc: 0.7250 - val_loss: 3.0007 - val_acc: 0.8148
Epoch 29/100
160/160 [==============================] - 0s 553us/step - loss: 4.1851 - acc: 0.7188 - val_loss: 2.9867 - val_acc: 0.8148
Epoch 30/100
160/160 [==============================] - 0s 553us/step - loss: 4.1838 - acc: 0.7313 - val_loss: 2.9859 - val_acc: 0.8148
Epoch 31/100
160/160 [==============================] - 0s 604us/step - loss: 4.1880 - acc: 0.7313 - val_loss: 2.9872 - val_acc: 0.8148
Epoch 32/100
160/160 [==============================] - 0s 617us/step - loss: 4.1829 - acc: 0.7438 - val_loss: 2.9873 - val_acc: 0.8148
Epoch 33/100
160/160 [==============================] - 0s 556us/step - loss: 4.1817 - acc: 0.7375 - val_loss: 2.9924 - val_acc: 0.8148
Epoch 34/100
160/160 [==============================] - 0s 593us/step - loss: 4.1836 - acc: 0.7313 - val_loss: 2.9883 - val_acc: 0.8148
Epoch 35/100
160/160 [==============================] - 0s 572us/step - loss: 4.1802 - acc: 0.7438 - val_loss: 2.9859 - val_acc: 0.8148
Epoch 36/100
160/160 [==============================] - 0s 580us/step - loss: 4.1820 - acc: 0.7375 - val_loss: 2.9857 - val_acc: 0.8148
Epoch 37/100
160/160 [==============================] - 0s 627us/step - loss: 4.1839 - acc: 0.7313 - val_loss: 2.9909 - val_acc: 0.8148
Epoch 38/100
160/160 [==============================] - 0s 586us/step - loss: 4.1793 - acc: 0.7438 - val_loss: 2.9879 - val_acc: 0.8148
Epoch 39/100
160/160 [==============================] - 0s 615us/step - loss: 4.1863 - acc: 0.7250 - val_loss: 2.9865 - val_acc: 0.8148
Epoch 40/100
160/160 [==============================] - 0s 578us/step - loss: 4.1909 - acc: 0.7313 - val_loss: 2.9893 - val_acc: 0.8148
Epoch 41/100
160/160 [==============================] - 0s 562us/step - loss: 4.1953 - acc: 0.7063 - val_loss: 2.9891 - val_acc: 0.8148
Epoch 42/100
160/160 [==============================] - 0s 622us/step - loss: 4.1862 - acc: 0.7313 - val_loss: 2.9899 - val_acc: 0.8148
Epoch 43/100
160/160 [==============================] - 0s 582us/step - loss: 4.1765 - acc: 0.7313 - val_loss: 2.9856 - val_acc: 0.8148
Epoch 44/100
160/160 [==============================] - ETA: 0s - loss: 4.3150 - acc: 0.718 - 0s 568us/step - loss: 4.1837 - acc: 0.7313 - val_loss: 2.9862 - val_acc: 0.8148
Epoch 45/100
160/160 [==============================] - ETA: 0s - loss: 4.1567 - acc: 0.727 - 0s 592us/step - loss: 4.1870 - acc: 0.7250 - val_loss: 2.9874 - val_acc: 0.8148
Epoch 46/100
160/160 [==============================] - 0s 569us/step - loss: 4.1744 - acc: 0.7375 - val_loss: 2.9856 - val_acc: 0.8148
Epoch 47/100
160/160 [==============================] - 0s 632us/step - loss: 4.1931 - acc: 0.7125 - val_loss: 2.9864 - val_acc: 0.8148
Epoch 48/100
160/160 [==============================] - 0s 610us/step - loss: 4.1750 - acc: 0.7438 - val_loss: 2.9872 - val_acc: 0.8148
Epoch 49/100
160/160 [==============================] - 0s 567us/step - loss: 4.1763 - acc: 0.7438 - val_loss: 2.9866 - val_acc: 0.8148
Epoch 50/100
160/160 [==============================] - 0s 640us/step - loss: 4.1761 - acc: 0.7438 - val_loss: 2.9898 - val_acc: 0.8148
Epoch 51/100
160/160 [==============================] - 0s 559us/step - loss: 4.1763 - acc: 0.7438 - val_loss: 3.0097 - val_acc: 0.7963
Epoch 52/100
160/160 [==============================] - 0s 621us/step - loss: 4.1842 - acc: 0.7188 - val_loss: 2.9856 - val_acc: 0.8148
Epoch 53/100
160/160 [==============================] - 0s 576us/step - loss: 4.1915 - acc: 0.7188 - val_loss: 2.9855 - val_acc: 0.8148
Epoch 54/100
160/160 [==============================] - 0s 586us/step - loss: 4.1735 - acc: 0.7313 - val_loss: 3.0212 - val_acc: 0.7963
Epoch 55/100
160/160 [==============================] - 0s 582us/step - loss: 4.1894 - acc: 0.7188 - val_loss: 2.9914 - val_acc: 0.8148
Epoch 56/100
160/160 [==============================] - 0s 622us/step - loss: 4.1741 - acc: 0.7188 - val_loss: 2.9887 - val_acc: 0.8148
Epoch 57/100
160/160 [==============================] - 0s 660us/step - loss: 4.1799 - acc: 0.7250 - val_loss: 3.0098 - val_acc: 0.7963
Epoch 58/100
160/160 [==============================] - 0s 590us/step - loss: 4.1821 - acc: 0.7250 - val_loss: 2.9957 - val_acc: 0.8148
Epoch 59/100
160/160 [==============================] - 0s 557us/step - loss: 4.1793 - acc: 0.7313 - val_loss: 2.9882 - val_acc: 0.8148
Epoch 60/100
160/160 [==============================] - 0s 591us/step - loss: 4.1756 - acc: 0.7313 - val_loss: 2.9962 - val_acc: 0.8148
Epoch 61/100
160/160 [==============================] - 0s 554us/step - loss: 4.1753 - acc: 0.7250 - val_loss: 2.9856 - val_acc: 0.8148
Epoch 62/100
160/160 [==============================] - 0s 677us/step - loss: 4.1801 - acc: 0.7250 - val_loss: 2.9855 - val_acc: 0.8148
Epoch 63/100
160/160 [==============================] - 0s 702us/step - loss: 4.1721 - acc: 0.7313 - val_loss: 3.0160 - val_acc: 0.7963
Epoch 64/100
160/160 [==============================] - 0s 840us/step - loss: 4.2047 - acc: 0.7000 - val_loss: 3.0250 - val_acc: 0.7963
Epoch 65/100
160/160 [==============================] - 0s 586us/step - loss: 4.2082 - acc: 0.6938 - val_loss: 3.0538 - val_acc: 0.7963
Epoch 66/100
160/160 [==============================] - 0s 634us/step - loss: 4.2022 - acc: 0.7063 - val_loss: 2.9986 - val_acc: 0.8148
Epoch 67/100
160/160 [==============================] - 0s 558us/step - loss: 4.1724 - acc: 0.7438 - val_loss: 2.9854 - val_acc: 0.8148
Epoch 68/100
160/160 [==============================] - ETA: 0s - loss: 3.6355 - acc: 0.764 - 0s 636us/step - loss: 4.1725 - acc: 0.7313 - val_loss: 2.9925 - val_acc: 0.8148
Epoch 69/100
160/160 [==============================] - 0s 639us/step - loss: 4.1835 - acc: 0.7250 - val_loss: 2.9860 - val_acc: 0.8148
Epoch 70/100
160/160 [==============================] - 0s 635us/step - loss: 4.1716 - acc: 0.7438 - val_loss: 2.9863 - val_acc: 0.8148
Epoch 71/100
160/160 [==============================] - 0s 643us/step - loss: 4.1746 - acc: 0.7313 - val_loss: 2.9854 - val_acc: 0.8148
Epoch 72/100
160/160 [==============================] - 0s 596us/step - loss: 4.1728 - acc: 0.7375 - val_loss: 2.9868 - val_acc: 0.8148
Epoch 73/100
160/160 [==============================] - 0s 603us/step - loss: 4.1688 - acc: 0.7375 - val_loss: 2.9859 - val_acc: 0.8148
Epoch 74/100
160/160 [==============================] - 0s 620us/step - loss: 4.1705 - acc: 0.7375 - val_loss: 2.9857 - val_acc: 0.8148
Epoch 75/100
160/160 [==============================] - 0s 591us/step - loss: 4.1697 - acc: 0.7375 - val_loss: 2.9852 - val_acc: 0.8148
Epoch 76/100
160/160 [==============================] - 0s 682us/step - loss: 4.1738 - acc: 0.7438 - val_loss: 2.9858 - val_acc: 0.8148
Epoch 77/100
160/160 [==============================] - 0s 572us/step - loss: 4.1702 - acc: 0.7438 - val_loss: 2.9864 - val_acc: 0.8148
Epoch 78/100
160/160 [==============================] - 0s 588us/step - loss: 4.1761 - acc: 0.7375 - val_loss: 2.9855 - val_acc: 0.8148
Epoch 79/100
160/160 [==============================] - 0s 591us/step - loss: 4.1698 - acc: 0.7313 - val_loss: 2.9855 - val_acc: 0.8148
Epoch 80/100
160/160 [==============================] - 0s 545us/step - loss: 4.1768 - acc: 0.7250 - val_loss: 2.9852 - val_acc: 0.8148
Epoch 81/100
160/160 [==============================] - 0s 601us/step - loss: 4.1663 - acc: 0.7313 - val_loss: 2.9972 - val_acc: 0.8148
Epoch 82/100
160/160 [==============================] - 0s 560us/step - loss: 4.1757 - acc: 0.7313 - val_loss: 2.9852 - val_acc: 0.8148
Epoch 83/100
160/160 [==============================] - 0s 571us/step - loss: 4.1858 - acc: 0.7250 - val_loss: 2.9859 - val_acc: 0.8148
Epoch 84/100
160/160 [==============================] - 0s 548us/step - loss: 4.1682 - acc: 0.7438 - val_loss: 2.9872 - val_acc: 0.8148
Epoch 85/100
160/160 [==============================] - 0s 599us/step - loss: 4.1657 - acc: 0.7438 - val_loss: 2.9851 - val_acc: 0.8148
Epoch 86/100
160/160 [==============================] - 0s 629us/step - loss: 4.1699 - acc: 0.7375 - val_loss: 2.9897 - val_acc: 0.8148
Epoch 87/100
160/160 [==============================] - 0s 632us/step - loss: 4.1664 - acc: 0.7375 - val_loss: 2.9851 - val_acc: 0.8148
Epoch 88/100
160/160 [==============================] - 0s 554us/step - loss: 4.1767 - acc: 0.7188 - val_loss: 2.9851 - val_acc: 0.8148
Epoch 89/100
160/160 [==============================] - 0s 567us/step - loss: 4.1723 - acc: 0.7313 - val_loss: 2.9859 - val_acc: 0.8148
Epoch 90/100
160/160 [==============================] - 0s 549us/step - loss: 4.1715 - acc: 0.7250 - val_loss: 3.0235 - val_acc: 0.7963
Epoch 91/100
160/160 [==============================] - 0s 609us/step - loss: 4.1901 - acc: 0.7188 - val_loss: 2.9997 - val_acc: 0.7963
Epoch 92/100
160/160 [==============================] - 0s 681us/step - loss: 4.1693 - acc: 0.7313 - val_loss: 2.9852 - val_acc: 0.8148
Epoch 93/100
160/160 [==============================] - 0s 547us/step - loss: 4.1673 - acc: 0.7375 - val_loss: 2.9853 - val_acc: 0.8148
Epoch 94/100
160/160 [==============================] - 0s 634us/step - loss: 4.1652 - acc: 0.7438 - val_loss: 2.9865 - val_acc: 0.8148
Epoch 95/100
160/160 [==============================] - 0s 578us/step - loss: 4.1719 - acc: 0.7250 - val_loss: 2.9853 - val_acc: 0.8148
Epoch 96/100
160/160 [==============================] - 0s 673us/step - loss: 4.1711 - acc: 0.7375 - val_loss: 2.9893 - val_acc: 0.8148
Epoch 97/100
160/160 [==============================] - 0s 551us/step - loss: 4.1692 - acc: 0.7375 - val_loss: 2.9892 - val_acc: 0.8148
Epoch 98/100
160/160 [==============================] - 0s 571us/step - loss: 4.1755 - acc: 0.7313 - val_loss: 2.9909 - val_acc: 0.8148
Epoch 99/100
160/160 [==============================] - 0s 584us/step - loss: 4.1706 - acc: 0.7313 - val_loss: 2.9861 - val_acc: 0.8148
Epoch 100/100
160/160 [==============================] - 0s 574us/step - loss: 4.1733 - acc: 0.7313 - val_loss: 2.9874 - val_acc: 0.8148
40
Train on 160 samples, validate on 54 samples
Epoch 1/100
160/160 [==============================] - 0s 625us/step - loss: 4.1572 - acc: 0.7313 - val_loss: 2.9893 - val_acc: 0.8148
Epoch 2/100
160/160 [==============================] - ETA: 0s - loss: 4.6363 - acc: 0.652 - 0s 606us/step - loss: 4.8301 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 3/100
160/160 [==============================] - 0s 603us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 4/100
160/160 [==============================] - 0s 587us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 5/100
160/160 [==============================] - 0s 635us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 6/100
160/160 [==============================] - 0s 639us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 7/100
160/160 [==============================] - 0s 550us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 8/100
160/160 [==============================] - 0s 556us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 9/100
160/160 [==============================] - 0s 600us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 10/100
160/160 [==============================] - 0s 579us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 11/100
160/160 [==============================] - 0s 582us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 12/100
160/160 [==============================] - 0s 642us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 13/100
160/160 [==============================] - 0s 596us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 14/100
160/160 [==============================] - 0s 880us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 15/100
160/160 [==============================] - 0s 653us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 16/100
160/160 [==============================] - 0s 573us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 17/100
160/160 [==============================] - 0s 551us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 18/100
160/160 [==============================] - 0s 555us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 19/100
160/160 [==============================] - 0s 601us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 20/100
160/160 [==============================] - 0s 683us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 21/100
160/160 [==============================] - 0s 677us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 22/100
160/160 [==============================] - 0s 558us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 23/100
160/160 [==============================] - 0s 554us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 24/100
160/160 [==============================] - 0s 562us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 25/100
160/160 [==============================] - 0s 683us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 26/100
160/160 [==============================] - 0s 555us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 27/100
160/160 [==============================] - 0s 565us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 28/100
160/160 [==============================] - 0s 591us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 29/100
160/160 [==============================] - 0s 576us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 30/100
160/160 [==============================] - 0s 623us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 31/100
160/160 [==============================] - 0s 621us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 32/100
160/160 [==============================] - 0s 578us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 33/100
160/160 [==============================] - 0s 590us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 34/100
160/160 [==============================] - 0s 598us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 35/100
160/160 [==============================] - 0s 745us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 36/100
160/160 [==============================] - 0s 603us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 37/100
160/160 [==============================] - 0s 617us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 38/100
160/160 [==============================] - 0s 571us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 39/100
160/160 [==============================] - 0s 645us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 40/100
160/160 [==============================] - 0s 573us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 41/100
160/160 [==============================] - 0s 570us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 42/100
160/160 [==============================] - 0s 592us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 43/100
160/160 [==============================] - 0s 607us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 44/100
160/160 [==============================] - 0s 601us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 45/100
160/160 [==============================] - 0s 630us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 46/100
160/160 [==============================] - 0s 539us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 47/100
160/160 [==============================] - 0s 560us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 48/100
160/160 [==============================] - 0s 552us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 49/100
160/160 [==============================] - 0s 565us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 50/100
160/160 [==============================] - 0s 570us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 51/100
160/160 [==============================] - 0s 571us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 52/100
160/160 [==============================] - 0s 568us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 53/100
160/160 [==============================] - 0s 627us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 54/100
160/160 [==============================] - 0s 594us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 55/100
160/160 [==============================] - 0s 652us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 56/100
160/160 [==============================] - 0s 546us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 57/100
160/160 [==============================] - 0s 577us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 58/100
160/160 [==============================] - 0s 597us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 59/100
160/160 [==============================] - 0s 552us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 60/100
160/160 [==============================] - 0s 659us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 61/100
160/160 [==============================] - 0s 645us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 62/100
160/160 [==============================] - 0s 616us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 63/100
160/160 [==============================] - 0s 555us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 64/100
160/160 [==============================] - 0s 645us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 65/100
160/160 [==============================] - 0s 683us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 66/100
160/160 [==============================] - 0s 578us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 67/100
160/160 [==============================] - 0s 577us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 68/100
160/160 [==============================] - 0s 560us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 69/100
160/160 [==============================] - 0s 588us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 70/100
160/160 [==============================] - 0s 679us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 71/100
160/160 [==============================] - 0s 631us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 72/100
160/160 [==============================] - ETA: 0s - loss: 6.1542 - acc: 0.618 - 0s 558us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 73/100
160/160 [==============================] - 0s 625us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 74/100
160/160 [==============================] - 0s 622us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 75/100
160/160 [==============================] - 0s 651us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 76/100
160/160 [==============================] - 0s 573us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 77/100
160/160 [==============================] - 0s 600us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 78/100
160/160 [==============================] - 0s 550us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 79/100
160/160 [==============================] - 0s 576us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 80/100
160/160 [==============================] - 0s 595us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 81/100
160/160 [==============================] - 0s 598us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 82/100
160/160 [==============================] - 0s 608us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 83/100
160/160 [==============================] - 0s 586us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 84/100
160/160 [==============================] - 0s 583us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 85/100
160/160 [==============================] - 0s 680us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 86/100
160/160 [==============================] - 0s 566us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 87/100
160/160 [==============================] - 0s 549us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 88/100
160/160 [==============================] - 0s 555us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 89/100
160/160 [==============================] - 0s 551us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 90/100
160/160 [==============================] - 0s 652us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 91/100
160/160 [==============================] - 0s 570us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 92/100
160/160 [==============================] - 0s 569us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 93/100
160/160 [==============================] - 0s 552us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 94/100
160/160 [==============================] - 0s 554us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 95/100
160/160 [==============================] - 0s 628us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 96/100
160/160 [==============================] - 0s 602us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 97/100
160/160 [==============================] - 0s 568us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 98/100
160/160 [==============================] - 0s 547us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 99/100
160/160 [==============================] - 0s 598us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 100/100
160/160 [==============================] - 0s 711us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
60
Train on 160 samples, validate on 54 samples
Epoch 1/100
160/160 [==============================] - 0s 552us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 2/100
160/160 [==============================] - 0s 572us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 3/100
160/160 [==============================] - 0s 584us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 4/100
160/160 [==============================] - 0s 567us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 5/100
160/160 [==============================] - 0s 633us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 6/100
160/160 [==============================] - 0s 547us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 7/100
160/160 [==============================] - 0s 626us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 8/100
160/160 [==============================] - 0s 592us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 9/100
160/160 [==============================] - 0s 622us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 10/100
160/160 [==============================] - 0s 670us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 11/100
160/160 [==============================] - 0s 583us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 12/100
160/160 [==============================] - 0s 575us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 13/100
160/160 [==============================] - 0s 579us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 14/100
160/160 [==============================] - 0s 621us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 15/100
160/160 [==============================] - 0s 633us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 16/100
160/160 [==============================] - ETA: 0s - loss: 5.7465 - acc: 0.643 - 0s 551us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 17/100
160/160 [==============================] - ETA: 0s - loss: 6.0443 - acc: 0.625 - 0s 628us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 18/100
160/160 [==============================] - 0s 628us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 19/100
160/160 [==============================] - 0s 549us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 20/100
160/160 [==============================] - ETA: 0s - loss: 5.5518 - acc: 0.655 - 0s 644us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 21/100
160/160 [==============================] - 0s 633us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 22/100
160/160 [==============================] - 0s 606us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 23/100
160/160 [==============================] - 0s 598us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 24/100
160/160 [==============================] - 0s 648us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 25/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 26/100
160/160 [==============================] - 0s 698us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 27/100
160/160 [==============================] - 0s 662us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 28/100
160/160 [==============================] - 0s 915us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 29/100
160/160 [==============================] - 0s 677us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 30/100
160/160 [==============================] - 0s 637us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 31/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 32/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 33/100
160/160 [==============================] - 0s 837us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 34/100
160/160 [==============================] - 0s 557us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 35/100
160/160 [==============================] - 0s 568us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 36/100
160/160 [==============================] - 0s 580us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 37/100
160/160 [==============================] - 0s 565us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 38/100
160/160 [==============================] - 0s 542us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 39/100
160/160 [==============================] - 0s 570us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 40/100
160/160 [==============================] - 0s 611us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 41/100
160/160 [==============================] - 0s 665us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 42/100
160/160 [==============================] - 0s 583us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 43/100
160/160 [==============================] - 0s 582us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 44/100
160/160 [==============================] - 0s 928us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 45/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 46/100
160/160 [==============================] - 0s 663us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 47/100
160/160 [==============================] - 0s 578us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 48/100
160/160 [==============================] - 0s 571us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 49/100
160/160 [==============================] - 0s 574us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 50/100
160/160 [==============================] - 0s 625us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 51/100
160/160 [==============================] - ETA: 0s - loss: 5.2192 - acc: 0.676 - 0s 587us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 52/100
160/160 [==============================] - 0s 594us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 53/100
160/160 [==============================] - 0s 605us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 54/100
160/160 [==============================] - 0s 608us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 55/100
160/160 [==============================] - 0s 651us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 56/100
160/160 [==============================] - 0s 581us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 57/100
160/160 [==============================] - 0s 568us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 58/100
160/160 [==============================] - 0s 561us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 59/100
160/160 [==============================] - 0s 554us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 60/100
160/160 [==============================] - 0s 613us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 61/100
160/160 [==============================] - 0s 559us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 62/100
160/160 [==============================] - 0s 554us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 63/100
160/160 [==============================] - 0s 539us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 64/100
160/160 [==============================] - 0s 538us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 65/100
160/160 [==============================] - 0s 571us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 66/100
160/160 [==============================] - 0s 581us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 67/100
160/160 [==============================] - 0s 565us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 68/100
160/160 [==============================] - 0s 546us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 69/100
160/160 [==============================] - 0s 562us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 70/100
160/160 [==============================] - 0s 560us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 71/100
160/160 [==============================] - 0s 612us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 72/100
160/160 [==============================] - 0s 604us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 73/100
160/160 [==============================] - 0s 739us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 74/100
160/160 [==============================] - 0s 783us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 75/100
160/160 [==============================] - 0s 599us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 76/100
160/160 [==============================] - 0s 559us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 77/100
160/160 [==============================] - 0s 714us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 78/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 79/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 80/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 81/100
160/160 [==============================] - 0s 729us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 82/100
160/160 [==============================] - 0s 743us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 83/100
160/160 [==============================] - 0s 854us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 84/100
160/160 [==============================] - 0s 614us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 85/100
160/160 [==============================] - 0s 916us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 86/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 87/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 88/100
160/160 [==============================] - 0s 641us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 89/100
160/160 [==============================] - 0s 604us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 90/100
160/160 [==============================] - 0s 864us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 91/100
160/160 [==============================] - 0s 954us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 92/100
160/160 [==============================] - 0s 931us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 93/100
160/160 [==============================] - 0s 691us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 94/100
160/160 [==============================] - 0s 880us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 95/100
160/160 [==============================] - 0s 877us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 96/100
160/160 [==============================] - 0s 888us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 97/100
160/160 [==============================] - 0s 618us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 98/100
160/160 [==============================] - 0s 638us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 99/100
160/160 [==============================] - 0s 977us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 100/100
160/160 [==============================] - 0s 977us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
80
Train on 160 samples, validate on 54 samples
Epoch 1/100
160/160 [==============================] - 0s 654us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 2/100
160/160 [==============================] - 0s 761us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 3/100
160/160 [==============================] - 0s 980us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 4/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 5/100
160/160 [==============================] - 0s 746us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 6/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 7/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 8/100
160/160 [==============================] - 0s 874us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 9/100
160/160 [==============================] - 0s 882us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 10/100
160/160 [==============================] - 0s 912us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 11/100
160/160 [==============================] - 0s 842us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 12/100
160/160 [==============================] - 0s 888us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 13/100
160/160 [==============================] - 0s 937us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 14/100
160/160 [==============================] - 0s 908us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 15/100
160/160 [==============================] - 0s 801us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 16/100
160/160 [==============================] - 0s 815us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 17/100
160/160 [==============================] - 0s 795us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 18/100
160/160 [==============================] - 0s 812us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 19/100
160/160 [==============================] - 0s 834us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 20/100
160/160 [==============================] - 0s 911us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 21/100
160/160 [==============================] - 0s 861us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 22/100
160/160 [==============================] - 0s 714us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 23/100
160/160 [==============================] - 0s 591us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 24/100
160/160 [==============================] - 0s 582us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 25/100
160/160 [==============================] - 0s 604us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 26/100
160/160 [==============================] - ETA: 0s - loss: 5.7686 - acc: 0.642 - 0s 611us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 27/100
160/160 [==============================] - 0s 768us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 28/100
160/160 [==============================] - 0s 864us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 29/100
160/160 [==============================] - 0s 880us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 30/100
160/160 [==============================] - 0s 711us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 31/100
160/160 [==============================] - 0s 815us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 32/100
160/160 [==============================] - 0s 824us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 33/100
160/160 [==============================] - 0s 812us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 34/100
160/160 [==============================] - 0s 731us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 35/100
160/160 [==============================] - 0s 827us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 36/100
160/160 [==============================] - 0s 835us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 37/100
160/160 [==============================] - 0s 927us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 38/100
160/160 [==============================] - 0s 909us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 39/100
160/160 [==============================] - 0s 832us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 40/100
160/160 [==============================] - 0s 818us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 41/100
160/160 [==============================] - 0s 801us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 42/100
160/160 [==============================] - 0s 929us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 43/100
160/160 [==============================] - 0s 891us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 44/100
160/160 [==============================] - 0s 859us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 45/100
160/160 [==============================] - 0s 846us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 46/100
160/160 [==============================] - 0s 803us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 47/100
160/160 [==============================] - 0s 728us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 48/100
160/160 [==============================] - 0s 851us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 49/100
160/160 [==============================] - 0s 856us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 50/100
160/160 [==============================] - 0s 908us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 51/100
160/160 [==============================] - 0s 879us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 52/100
160/160 [==============================] - 0s 933us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 53/100
160/160 [==============================] - 0s 895us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 54/100
160/160 [==============================] - 0s 835us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 55/100
160/160 [==============================] - 0s 732us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 56/100
160/160 [==============================] - 0s 889us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 57/100
160/160 [==============================] - 0s 920us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 58/100
160/160 [==============================] - 0s 859us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 59/100
160/160 [==============================] - 0s 834us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 60/100
160/160 [==============================] - 0s 740us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 61/100
160/160 [==============================] - 0s 791us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 62/100
160/160 [==============================] - 0s 744us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 63/100
160/160 [==============================] - 0s 794us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 64/100
160/160 [==============================] - 0s 883us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 65/100
160/160 [==============================] - 0s 854us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 66/100
160/160 [==============================] - 0s 857us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 67/100
160/160 [==============================] - 0s 961us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 68/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 69/100
160/160 [==============================] - 0s 731us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 70/100
160/160 [==============================] - 0s 765us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 71/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 72/100
160/160 [==============================] - 0s 645us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 73/100
160/160 [==============================] - 0s 698us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 74/100
160/160 [==============================] - 0s 607us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 75/100
160/160 [==============================] - 0s 589us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 76/100
160/160 [==============================] - 0s 879us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 77/100
160/160 [==============================] - 0s 730us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 78/100
160/160 [==============================] - 0s 586us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 79/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 80/100
160/160 [==============================] - 0s 637us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 81/100
160/160 [==============================] - 0s 629us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 82/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 83/100
160/160 [==============================] - 0s 806us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 84/100
160/160 [==============================] - 0s 581us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 85/100
160/160 [==============================] - 0s 951us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 86/100
160/160 [==============================] - 0s 868us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 87/100
160/160 [==============================] - 0s 716us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 88/100
160/160 [==============================] - 0s 581us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 89/100
160/160 [==============================] - 0s 593us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 90/100
160/160 [==============================] - 0s 606us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 91/100
160/160 [==============================] - 0s 626us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 92/100
160/160 [==============================] - 0s 882us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 93/100
160/160 [==============================] - 0s 702us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 94/100
160/160 [==============================] - 0s 635us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 95/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 96/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 97/100
160/160 [==============================] - 0s 778us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 98/100
160/160 [==============================] - 0s 625us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 99/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 100/100
160/160 [==============================] - 0s 852us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
100
Train on 160 samples, validate on 54 samples
Epoch 1/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 2/100
160/160 [==============================] - 0s 620us/step - loss: 5.8282 - acc: 0.6313 - val_loss: 4.1579 - val_acc: 0.7222
Epoch 3/100
160/160 [==============================] - 0s 589us/step - loss: 5.4767 - acc: 0.6500 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 4/100
160/160 [==============================] - 0s 988us/step - loss: 5.5062 - acc: 0.6438 - val_loss: 4.2404 - val_acc: 0.7037
Epoch 5/100
160/160 [==============================] - 0s 857us/step - loss: 5.5777 - acc: 0.6500 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 6/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4462 - acc: 0.6563 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 7/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4450 - acc: 0.6563 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 8/100
160/160 [==============================] - 0s 981us/step - loss: 5.4406 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 9/100
160/160 [==============================] - 0s 810us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 10/100
160/160 [==============================] - 0s 583us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 11/100
160/160 [==============================] - 0s 588us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 12/100
160/160 [==============================] - 0s 611us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 13/100
160/160 [==============================] - 0s 873us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 14/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 15/100
160/160 [==============================] - 0s 939us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 16/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 17/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 18/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 19/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 20/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 21/100
160/160 [==============================] - 0s 910us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 22/100
160/160 [==============================] - 0s 818us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 23/100
160/160 [==============================] - 0s 744us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 24/100
160/160 [==============================] - 0s 701us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 25/100
160/160 [==============================] - 0s 795us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 26/100
160/160 [==============================] - 0s 653us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 27/100
160/160 [==============================] - 0s 879us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 28/100
160/160 [==============================] - 0s 685us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 29/100
160/160 [==============================] - 0s 962us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 30/100
160/160 [==============================] - 0s 2ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 31/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 32/100
160/160 [==============================] - 0s 740us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 33/100
160/160 [==============================] - 0s 700us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 34/100
160/160 [==============================] - 0s 868us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 35/100
160/160 [==============================] - 0s 861us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 36/100
160/160 [==============================] - ETA: 0s - loss: 3.2236 - acc: 0.800 - ETA: 0s - loss: 4.7406 - acc: 0.705 - 0s 741us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 37/100
160/160 [==============================] - 0s 862us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 38/100
160/160 [==============================] - 0s 927us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 39/100
160/160 [==============================] - 0s 960us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 40/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 41/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 42/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 43/100
160/160 [==============================] - 0s 946us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 44/100
160/160 [==============================] - 0s 909us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 45/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 46/100
160/160 [==============================] - 0s 899us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 47/100
160/160 [==============================] - 0s 715us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 48/100
160/160 [==============================] - 0s 713us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 49/100
160/160 [==============================] - 0s 592us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 50/100
160/160 [==============================] - 0s 626us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 51/100
160/160 [==============================] - 0s 631us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 52/100
160/160 [==============================] - 0s 689us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 53/100
160/160 [==============================] - 0s 920us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 54/100
160/160 [==============================] - 0s 872us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 55/100
160/160 [==============================] - 0s 809us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 56/100
160/160 [==============================] - 0s 709us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 57/100
160/160 [==============================] - 0s 652us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 58/100
160/160 [==============================] - 0s 584us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 59/100
160/160 [==============================] - 0s 851us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 60/100
160/160 [==============================] - 0s 648us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 61/100
160/160 [==============================] - 0s 928us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 62/100
160/160 [==============================] - 0s 742us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 63/100
160/160 [==============================] - 0s 685us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 64/100
160/160 [==============================] - 0s 596us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 65/100
160/160 [==============================] - 0s 712us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 66/100
160/160 [==============================] - 0s 697us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 67/100
160/160 [==============================] - 0s 680us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 68/100
160/160 [==============================] - 0s 711us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 69/100
160/160 [==============================] - 0s 806us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 70/100
160/160 [==============================] - 0s 909us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 71/100
160/160 [==============================] - 0s 717us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 72/100
160/160 [==============================] - 0s 644us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 73/100
160/160 [==============================] - 0s 593us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 74/100
160/160 [==============================] - 0s 691us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 75/100
160/160 [==============================] - 0s 709us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 76/100
160/160 [==============================] - 0s 592us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 77/100
160/160 [==============================] - 0s 693us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 78/100
160/160 [==============================] - 0s 754us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 79/100
160/160 [==============================] - 0s 819us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 80/100
160/160 [==============================] - ETA: 0s - loss: 5.2384 - acc: 0.675 - 0s 731us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 81/100
160/160 [==============================] - 0s 662us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 82/100
160/160 [==============================] - 0s 608us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 83/100
160/160 [==============================] - 0s 691us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 84/100
160/160 [==============================] - 0s 588us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 85/100
160/160 [==============================] - 0s 664us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 86/100
160/160 [==============================] - 0s 601us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 87/100
160/160 [==============================] - 0s 1ms/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 88/100
160/160 [==============================] - 0s 790us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 89/100
160/160 [==============================] - 0s 782us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 90/100
160/160 [==============================] - 0s 619us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 91/100
160/160 [==============================] - 0s 660us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 92/100
160/160 [==============================] - 0s 814us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 93/100
160/160 [==============================] - 0s 646us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 94/100
160/160 [==============================] - 0s 693us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 95/100
160/160 [==============================] - 0s 886us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 96/100
160/160 [==============================] - 0s 700us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 97/100
160/160 [==============================] - 0s 700us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 98/100
160/160 [==============================] - 0s 639us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 99/100
160/160 [==============================] - 0s 745us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407
Epoch 100/100
160/160 [==============================] - 0s 637us/step - loss: 5.4399 - acc: 0.6625 - val_loss: 4.1788 - val_acc: 0.7407