Instead of searching for a stolen copy, use GitHub to access the and buy the book separately. Many practitioners buy the e-book and then use the GitHub repo to follow along. Alternatively, check if your employer or university has a Manning Publications subscription.
Originally written in Keras/TensorFlow , the code allows you to reproduce every example discussed in the text.
The official GANs in Action repository contains the full source code for the book, organized by chapter . It uses to implement major variants including: Vanilla GANs and Autoencoders (Chapters 2 & 3) . Deep Convolutional GANs (DCGAN) (Chapter 4) . Semi-Supervised and Conditional GANs (Chapters 7 & 8) . CycleGAN for image-to-image translation (Chapter 9) . PyTorch Implementations
You can find the code and resources for GANs in Action: Deep Learning with Generative Adversarial Networks
You see the actual implementation.