9 Books on Generative Adversarial Networks (GANs)

Last Updated on August 21, 2019

Generative Adversarial Networks, or GANs for short, were first described in the 2014 paper by Ian Goodfellow, et al. titled “Generative Adversarial Networks.”

Since then, GANs have seen a lot of attention given that they are perhaps one of the most effective techniques for generating large, high-quality synthetic images.

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.

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GAN Books

Most of the books have been written and released under the Packt publishing company.

Almost all of the books suffer the same problems: that is, they are generally low quality and summarize the usage of third-party code on GitHub with little original content. This particularly applies to the books from Packt.

Nevertheless, it is useful to have an idea of what books are available and the topics covered. This can be helpful both in choosing a book
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