Deep Learning with Python Reference François Chollet These code use Python 3.7 and Keras 2.1.8. Table of contents Chapter 2: 2.1: A first look at a neural network Chapter 3: 3.5: Classifying movie reviews 3.6: Classifying newswires 3.7: Predicting house prices Chapter 4: 4.4: Underfitting and overfitting Chapter 5: 5.1: Introduction to convnets 5.2: Using convnets with small datasets 5.3: Using a pre-trained convnet 5.4: Visualizing what convnets learn Chapter 6: 6.1: One-hot encoding of words or characters 6.1: Using word embeddings 6.2: Understanding RNNs 6.3: Advanced usage of RNNs 6.4: Sequence processing with convnets Chapter 8: 8.1: Text generation with LSTM 8.2: Deep dream 8.3: Neural style transfer 8.4: Generating images with VAEs 8.5: Introduction to GANs