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Generative deep learning : = teachin...

Foster, David ((Data scientist).)

Generative deep learning : = teaching machines to paint, write, compose, and play /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Generative deep learning :/ David Foster.
其他題名:	teaching machines to paint, write, compose, and play /
作者:	Foster, David
出版者:	Sebastopol, CA :O'Reilly Media, Inc., : 2019.,
面頁冊數:	xv, 308 p. :ill. (chiefly col.) ; : 24 cm.;
標題:	Generative programming (Computer science). -
ISBN:	9781492041948 (Pbk) :

Generative deep learning : = teaching machines to paint, write, compose, and play /
Foster, David(Data scientist).

Generative deep learning :teaching machines to paint, write, compose, and play /David Foster. - 1st ed. - Sebastopol, CA :O'Reilly Media, Inc.,2019. - xv, 308 p. :ill. (chiefly col.) ;24 cm.

Includes bibliographical references and index.

Part 1. Introduction to generative deep learning. Generative modeling -- Deep learning -- Variational autoencoders -- Generative adversarial networks -- Part 2. Teaching machines to paint, write, compose, and play. Paint -- Write -- Compose -- Play -- The future of generative modeling -- Conclusion.

"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 of the most cutting-edge algorithms in the field. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative."--Amazon.com.

ISBN: 9781492041948 (Pbk) :NT1951

LCCN: 2020301449

Nat. Bib. No.: GBB9B6664bnbSubjects--Topical Terms:

1346289
Generative programming (Computer science).

LC Class. No.: Q325.5 / .F67 2019

Dewey Class. No.: 006.3/1

Generative deep learning : = teaching machines to paint, write, compose, and play /
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245 1 0 $a Generative deep learning : $b teaching machines to paint, write, compose, and play / $c David Foster.
250 $a 1st ed.
260 # $a Sebastopol, CA : $b O'Reilly Media, Inc., $c 2019.
300 $a xv, 308 p. : $b ill. (chiefly col.) ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 0 # $a Part 1. Introduction to generative deep learning. Generative modeling -- Deep learning -- Variational autoencoders -- Generative adversarial networks -- Part 2. Teaching machines to paint, write, compose, and play. Paint -- Write -- Compose -- Play -- The future of generative modeling -- Conclusion.
520 # $a "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 of the most cutting-edge algorithms in the field. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative."--Amazon.com.
650 # 0 $a Generative programming (Computer science). $3 1346289
650 # 0 $a Neural networks (Computer science). $3 687024
650 # 0 $a Artificial intelligence. $3 559380
650 # 0 $a Machine learning. $3 561253