Table of Contents
Preface
Section 1: Fundamentals of Image Generation with TensorFlow
Chapter 1: Getting Started with Image Generation Using TensorFlow
Technical requirements
Understanding probabilities
Probability distribution5
Prediction confidence6
The joint probability of pixels7
Generating faces with a probabilistic model
Mean faces9
Conditional probability11
Probabilistic generative models13
Parametric modeling15
Building a PixelCNN model from scratch
Autoregressive models16
PixelRNN17
Building a PixelCNN model with TensorFlow 217
Summary
Chapter 2: Variational Autoencoder
Technical requirements
Learning latent variables with autoencoders
Encoder27
Decoder30
Building an autoencoder32
Generating images from latent variables33
Variational ...
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