مكتبة جامعة عجلون الوطنية

فهرس بحث المكتبة

Generative deep learning : teaching machines to paint, write, compose, and play / David Foster.

By: Material type: TextPublisher: Sebastopol, CA : O'Reilly Media, Inc., 2023Copyright date: ©2019Edition: First editionDescription: xv, 308 pages : illustrations (chiefly color) ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781492041948
  • 1492041947
Subject(s): DDC classification:
  • 006.3/1 23
LOC classification:
  • Q325.5 .F67 2019
Contents:
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.
Summary: "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.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books مكتبة جامعة عجلون الوطنية Q325.5.F67 2023 (Browse shelf(Opens below)) Available E3952
Books مكتبة جامعة عجلون الوطنية Q325.5.F67 2023 (Browse shelf(Opens below)) Available E3951

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.

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