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Key benefits

Use different datasets to build advanced projects in the Generative Adversarial Network domain

Implement projects ranging from generating 3D shapes to a face aging application

Explore the power of GANs to contribute in open source research and projects

Description

Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in this field since it is one of the rapidly growing areas of machine learning. This book will test unsupervised techniques for training neural networks as you build seven end-to-end projects in the GAN domain. Generative Adversarial Network Projects begins by covering the concepts, tools, and libraries that you will use to build efficient projects. You will also use a variety of datasets for the different projects covered in the book. The level of complexity of the operations required increases with every chapter, helping you get to grips with using GANs. You will cover popular approaches such as 3D-GAN, DCGAN, StackGAN, and CycleGAN, and you’ll gain an understanding of the architecture and functioning of generative models through their practical implementation. By the end of this book, you will be ready to build, train, and optimize your own end-to-end GAN models at work or in your own projects.

What you will learn

Train a network on the 3D ShapeNet dataset to generate realistic shapes

Generate anime characters using the Keras implementation of DCGAN

Implement an SRGAN network to generate high-resolution images

Train Age-cGAN on Wiki-Cropped images to improve face verification

Use Conditional GANs for image-to-image translation

Understand the generator and discriminator implementations of StackGAN in Keras

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Generative Adversarial Networks Projects

$48.99

Hands-On Generative Adversarial Networks with Keras

$43.99

Generative Adversarial Networks Cookbook

$48.99

Total $ 141.97

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Micheal Lanahm May 04, 2019

Great comprehensive book on some basic GAN techniques.

Amazon Verified review

mandersm8 Jul 20, 2019

Book doesn't actually explain how the code works in detail or what each line does, it tells you an overall of what the code does. Once coded up, the code didn't work and when issues are opened on the books GitHub repo, the author is unresponsive. Would not recommend this book.

Matthew Darnell Apr 26, 2019

Not really useful or informative as a stand-alone body of work. The external dependencies actually make this completely superfluous and superficial.

Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras

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