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GANs in action : = deep learning wit...

Bok, Vladimir.

GANs in action : = deep learning with generative adversarial networks /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	GANs in action :/ Jakub Langr, Vladimir Bok.
Reminder of title:	deep learning with generative adversarial networks /
remainder title:	Generative Adversarial Networks in action
Author:	Langr, Jakub.
other author:	Bok, Vladimir.
Published:	Shelter Island, New York,Manning Publications, : 2019.,
Description:	xxiii, 214 p. :ill. ; : 24 cm.;
Subject:	Machine learning - Technological innovations. -
ISBN:	9781617295560 (Pbk) :

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

GANs in action :deep learning with generative adversarial networks /Generative Adversarial Networks in actionJakub Langr, Vladimir Bok. - Shelter Island, New York,Manning Publications,2019. - xxiii, 214 p. :ill. ;24 cm.

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.

ISBN: 9781617295560 (Pbk) :NT1394

LCCN: 2019286864Subjects--Topical Terms:

1132940
Machine learning
--Technological innovations.

LC Class. No.: Q325.5 / .L36 2019

Dewey Class. No.: 006.31

GANs in action : = deep learning with generative adversarial networks /
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300 $a xxiii, 214 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 0 # $a Introduction to GANs and generative modeling -- Advanced topics in GANs -- Where to go from here.
520 # $a 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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700 1 # $a Bok, Vladimir. $3 1346287