Generative Deep Learning

Index

Symbols

• 1-Lipschitz continuous function, The Lipschitz Constraint

A

• activation functions, Building the Model
• Adam optimizer, Compiling the Model
• AI art, AI Art
  • (see also style transfer)
• AI music, AI Music
  • (see also music generation)
• Anaconda, Setting Up Your Environment
• artifacts, The Generator
• artificial neural networks (ANNs), Deep Neural Networks
• arXiv, Other Resources
• attention mechanisms
  • analysis of, Analysis of the RNN with Attention-Analysis of the RNN with Attention
  • building in Keras, Building an Attention Mechanism in Keras-Building an Attention Mechanism in Keras
  • in encoder-decoder networks, Attention in Encoder–Decoder Networks-Attention in Encoder–Decoder Networks
  • examples in language translation, Attention
  • generating polyphonic music, Generating Polyphonic Music
  • multihead attention module, Multihead Attention
• autoencoders
  • analysis of, Analysis of the Autoencoder-Analysis of the Autoencoder
  • building, Your First Autoencoder
  • decoder architecture, The Decoder-The Decoder
  • encoder architecture, The Encoder
  • joining encoder to decoder, Joining the Encoder to the Decoder
  • parts of, Autoencoders
  • process used by, Autoencoders
  • representation vectors in, Autoencoders
  • uses for, Autoencoders

B

• backpropagation, Deep Neural Networks
• batch normalization, Batch Normalization-Batch Normalization, Dropout Layers, The Gradient Penalty Loss
• BERT (Bidirectional Encoder Representations from Transformers), BERT
• BigGAN, BigGAN
• binary cross-entropy loss, Compiling the Model, Joining the Encoder to the Decoder, Training the ...