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.

About the Technology
Generative Adversarial Networks, GANs, are an incredible AI technology capable of creating images, sound, and videos that are indistinguishable from the "real thing." By pitting two neural networks against each other—one to generate fakes and one to spot them—GANs rapidly learn to produce photo-realistic faces and other media objects. With the potential to produce stunningly realistic animations or shocking deepfakes, GANs are a huge step forward in deep learning systems.

About the Book
GANs in Action teaches you to build and train your own Generative Adversarial Networks. You'll start by creating simple generator and discriminator networks that are the foundation of GAN architecture. Then, following numerous hands-on examples, you'll train GANs to generate high-resolution images, image-to-image translation, and targeted data generation. Along the way, you'll find pro tips for making your system smart, effective, and fast.

What's inside
• Building your first GAN
• Handling the progressive growing of GANs
• Practical applications of GANs
• Troubleshooting your system

About the Reader
For data professionals with intermediate Python skills, and the basics of deep learning-based image processing.

About the Author

Jakub Langr is a Computer Vision Cofounder at Founders Factory (YEPIC.AI). Vladimir Bok is a Senior Product Manager overseeing machine learning infrastructure and research teams at a New York-based startup.

GANs in Action》教你如何构建和训练自己的生成对抗网络，这是深度学习中最重要的创新之一。在本书中，你将学习如何开始构建自己的简单对抗系统，同时探索GAN架构的基础：生成器和判别器网络。

关于该技术

生成式对抗网络（GANs）是一种令人难以置信的人工智能技术，能够创造出与 "真实事物 "无法区分的图像、声音和视频。通过让两个神经网络相互对抗--一个生成假货，一个发现假货--GANs迅速学会生成照片般真实的人脸和其他媒体对象。GANs有可能产生令人惊叹的逼真动画或令人震惊的深层假象，它是深度学习系统的一个巨大进步。

关于这本书

GANs in Action》教你如何构建和训练自己的生成对抗网络。你将从创建简单的生成器和判别器网络开始，这是GAN架构的基础。然后，根据大量的实践案例，你将训练GAN来生成高分辨率的图像、图像到图像的翻译以及目标数据的生成。在这一过程中，你会发现使你的系统聪明、有效、快速的专业技巧。

内容包括

- 建立你的第一个GAN

- 处理GANs的逐步增长

- GANs的实际应用

- 排除你的系统的故障

关于读者

适用于具有中级Python技能的数据专业人员，以及基于深度学习的图像处理的基础知识。

关于作者

Jakub Langr是创始人工厂（YEPIC.AI）的计算机视觉联合创始人。Vladimir Bok是纽约一家创业公司的高级产品经理，负责监督机器学习基础设施和研究团队。