#547 · Primary category: Education & Research

gans-in-action

ai artificial-intelligence artificial-intelligence-algorithms conditional-gan cycle-gan dcgan deep-learning deep-neural-networks gan gans generative-adversarial-network semi-supervised-learning

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Project last updated:07/23/25

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Why we included this project

Each chapter folder in this repo holds runnable Keras and TensorFlow notebooks for the major GAN variants, from the original vanilla GAN through DCGAN, progressive GAN, conditional GAN, and CycleGAN. It accompanies the Manning book GANs in Action, so you can train the examples on MNIST, watch mode collapse and vanishing gradients show up, and then apply the fixes the authors describe. Every notebook points back to the canonical research paper, which helps you connect what runs to what was published. That combination makes it a practical study aid for students and engineers who learn by opening code and stepping through it cell by cell, not a framework you would drop into a product.

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