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..
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Advanced_Keras_Tutorial
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additional materials
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data
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imgs
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solutions
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0. Preamble.ipynb
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1.1 Introduction - Deep Learning and ANN.ipynb
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1.2 Introduction - Tensorflow.ipynb
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1.3 Introduction - Keras.ipynb
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1.4 Keras Backend.ipynb
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2.1 Convolutional Neural Networks.ipynb
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2.2 CNN HandsOn - MNIST Dataset.ipynb
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2.2.1 CNN HandsOn - MNIST & FC Nets.ipynb
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2.2.2 CNN HandsOn - MNIST & CN Nets.ipynb
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2.2.3 CNN HandsON - CIFAR10.ipynb
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2.3 Deep Convolutional Neural Networks.ipynb
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2.4 Transfer Learning & Fine-Tuning.ipynb
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2.5 HyperParameter Tuning.ipynb
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3.1 AutoEncoders and Embeddings.ipynb
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3.2 RNN and LSTM.ipynb
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4. Conclusions.ipynb
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Extra Additional Materials.ipynb
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build_gpu.sh
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deep-learning-osx.yml
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deep-learning.yml
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kaggle_data.py
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mnist_data.py
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