David Foster Generative Deep Learning


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Generative Deep Learning

Generative Deep Learning Author by : David Foster
Languange Used : en
Release Date : 2019-06-28
Publisher by : "O'Reilly Media, Inc."
ISBN : 9781492041894
File Size : 44,5 Mb
Total Download : 811

Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some
Category: Computers

Generative Deep Learning

Generative Deep Learning Author by : David Foster
Languange Used : en
Release Date : 2019-06-28
Publisher by : O'Reilly Media
ISBN : 9781492041917
File Size : 51,7 Mb
Total Download : 495

Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some
Category: Computers

Generative Deep Learning

Generative Deep Learning Author by : David Foster
Languange Used : en
Release Date : 2019-07-13
Publisher by : O'Reilly Media
ISBN : 1492041947
File Size : 52,7 Mb
Total Download : 568

Generative modeling is one of the hottest topics in artificial intelligence. Recent advances in the field have shown how it's possible to teach a machine to excel at human endeavors--such as drawing, composing music, and completing tasks--by generating an understanding of how its actions affect its environment. With this practical book, machine learning engineers and data scientists will learn how to recreate some of the most famous examples of generative deep learning models, such as variational autoencoders and generative adversarial networks (GANs). You'll also learn how to apply the techni
Category: Computers

Gans In Action

Gans In Action Author by : Jakub Langr
Languange Used : en
Release Date : 2019-04-06
Publisher by : Manning Publications
ISBN : 1617295566
File Size : 40,9 Mb
Total Download : 631

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
Category: Computers
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