2019年8月21日 · As such, a number of books have been written about GANs, mostly focusing on how to develop and use the models in practice. In this post, you will discover books written on Generative Adversarial Networks.

Starting from a gentle introduction to the generative learning approaches, this book takes you through different variants of GANs, explaining some key technical and intuitive aspects about them. This book provides hands-on examples of multiple GAN variants and also, explains different ways to evaluate them.

GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks.

2024年11月27日 · 《深入浅出GAN生成对抗网络》是由廖茂文编著,本书首先从Python 基本语法开始讨论，逐步介绍必备的数学知识与神经网络的基本知识，并利用讨论的内容编写一个深度学习框架TensorPy，有了这些知识作为铺垫后，就开始讨论生成对抗网络（GAN）相关

2022年10月10日 · In this article we collected some important GAN applications and useful GAN books for both beginners and advanced programmers. The GAN technology already showed some incredible applications like Dall E 2, Midjourney, StyleGAN2 or NVIDIA's GauGAN.

The best generative adversarial networks books, such as GANs in Action, Make Your First GAN With PyTorch and Deep Learning with TensorFlow 2 and Keras.

Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process.

The GAN Book: Train stable Generative Adversarial Networks using TensorFlow2, Keras and Python. Only 1 left in stock - order soon. Only 10 left in stock (more on the way). Pre-order Price Guarantee. This title has not yet been released. Only 1 left in stock - order soon. Don't Panic!