You can find the code and resources for the book " GANs in Action: Deep Learning with Generative Adversarial Networks
GANs are notoriously difficult to train, but failures are educational. GANs in Action provides the safety net of proven code, while the GitHub repository provides the lab bench. gans in action pdf github
: Building your first GAN for handwritten digit generation (MNIST). You can find the code and resources for
Start training your first GAN tonight. The only limit is your GPU’s VRAM. gans in action pdf github