If you are looking for the book " GANs in Action: Deep Learning with Generative Adversarial Networks
The world of Generative AI has exploded in recent years. From creating hyper-realistic human faces to generating art and enhancing medical images, Generative Adversarial Networks (GANs) are at the heart of this revolution. However, for many learners, the mathematical complexity of GANs presents a steep barrier. This is where GANs in Action by Jakub Langr and Vladimir Bok steps in. gans in action pdf github
import tensorflow as tf from tensorflow import keras If you are looking for the book "
github.com/vbok/gans-in-action (Check current URL)The authors maintain an official on GitHub which contains Jupyter Notebooks that implement every major GAN variant discussed in the book (from vanilla GANs to CycleGAN) using Keras and TensorFlow. Official Repo: GANs-in-Action/gans-in-action Official Manning Page: gans-in-action (manning
You’ve found the repository. Now what? Simply downloading the ZIP file won't make you an expert. Here is a step-by-step workflow to maximize your learning using the resources.