Subtitled "Deep Learning with Generative Adversarial Networks", this book aims to teach you how to build and train your own Generative Adversarial Network. Authors Jakub Langr and Vladimir Bok start by creating simple generator and discriminator networks that are the foundation of GAN architecture. The book continues with examples showing how to train GANs to generate high-resolution images, image-to-image translation, and targeted data generation.

<ASIN:1617295566>

Author: Jakub Langr and Vladimir Bok
Publisher: Manning
Date: October 2019
Pages: 240
ISBN: 978-1617295560
Print: 1617295566
Audience: Data professionals with intermediate Python skills
Level: Intermediate
Category: Artificial Intelligence

• Building your first GAN
• Handling the progressive growing of GANs
• Practical applications of GANs
• Troubleshooting your system

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