GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

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GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

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GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

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Mô tả

GANs in Action Deep learning with Generative Adversarial Networks ( sách tiếng anh)

Sách keo gáy, Bìa mềm

Thể loại:Computers - Computer Science

Năm:2019

In lần thứ:1

Nhà xuát bản:Manning Publications

Ngôn ngữ:english

Trang:276

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.

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