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GANs in action : deep learning with generative adversarial networks / Jakub Langr, Vladimir Bok.

By: Contributor(s): Material type: TextPublication details: New York: Manning Publications Co. 2019Edition: 1st edDescription: xxiii, 214 pages : illustrations ; 24 cmISBN:
  • 9781617295560
Other title:
  • Generative Adversarial Networks in action
Subject(s): DDC classification:
  • 006.31 23 L285g
Contents:
Introduction to GANs and generative modeling -- Advanced topics in GANs -- Where to go from here.
Summary: 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. "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.
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Holdings
Item type Current library Call number Vol info Copy number Status Barcode
Books Library, Independent University, Bangladesh (IUB) Reference Stacks 006.31 L285g (Browse shelf(Opens below)) 2019 01 Not For Loan 029870
Books Library, Independent University, Bangladesh (IUB) General Stacks 006.31 L285g (Browse shelf(Opens below)) 2019 02 Available 029871
Total holds: 0

Includes bibliographical references and index.

Introduction to GANs and generative modeling -- Advanced topics in GANs -- Where to go from here.

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. "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.

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