Deep Learning with Python introduces the field of deep learning using the Python language and the Keras library. To build understanding through intuitive explanations and practical examples is the purpose of this project.
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