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Author: Vladimir Bok Publisher: Simon and Schuster ISBN: 1638354235 Category : Computers Languages : en Pages : 367
Book Description
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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Author: Vladimir Bok Publisher: Simon and Schuster ISBN: 1638354235 Category : Computers Languages : en Pages : 367
Book Description
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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Author: G. J. Leigh Publisher: Royal Society of Chemistry ISBN: 1849730075 Category : Reference Languages : en Pages : 271
Book Description
Aimed at pre-university and undergraduate students, this volume surveys the current IUPAC nomenclature recommendations in organic, inorganic and macromolecular chemistry.
Author: Vladimir Bok
Author: Vladimir Bok
Author: William Roger Peterson
Author: W. R. Peterson
Author: J. M. Dou
Author: R. Z. Majan
Author: G. J. Leigh
Author: Alfonso García García
Author: Albert Mach
Author: José Antonio García Pérez
Author: María Ascension Jiménez Tébar