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GANs in Action
Jakub Langr, Vladimir BokHow much do you like this book?
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Deep learning systems have gotten really great at identifying patterns in text, images, and video. But applications that create realistic images, natural sentences and paragraphs, or native-quality translations have proven elusive. Generative Adversarial Networks, or GANs, offer a promising solution to these challenges by pairing two competing neural networks' one that generates content and the other that rejects samples that are of poor quality. GANs in Action: Deep learning with Generative Adversarial Networks teaches you how to build and train your own generative adversarial networks. First, you'll get an introduction to generative modelling and how GANs work, along with an overview of their potential uses. Then, you'll start building your own simple adversarial system, as you explore the foundation of GAN architecture: the generator and discriminator networks.
Categories:
Year:
2019
Edition:
1
Publisher:
Manning Publications
Language:
english
Pages:
276
ISBN 10:
1617295566
ISBN 13:
9781617295560
File:
EPUB, 6.27 MB
Your tags:
IPFS:
CID , CID Blake2b
english, 2019
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