Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
Language: English
Published by O'Reilly Media, 2019
- Softcover
- Used

Seller: Austin Goodwill 1101, Austin, TX, U.S.A.Austin Goodwill 1101
AbeBooks seller since May 21, 2021
Condition: Used - Good
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Book shows general signs of use and handling. May have light wear on the cover or edges and minimal writing or highlighting. Binding remains tight, and pages are clean and readable.
Seller Inventory # CTXV.1492041947.G
- Title
- Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
- Author
- Foster, David
- Publisher
- O'Reilly Media
- Publication year
- 2019
- Condition
- good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1492041947
- ISBN 13
- 9781492041948
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.
- Discover how variational autoencoders can change facial expressions in photos
- Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation
- Create recurrent generative models for text generation and learn how to improve the models using attention
- Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting
- Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN
"Synopsis" may belong to another edition of this title.
About the Author
David Foster is the co-founder of Applied Data Science, a data science consultancy delivering bespoke solutions for clients. He holds an MA in Mathematics from Trinity College, Cambridge, UK and an MSc in Operational Research from the University of Warwick.
David has won several international machine learning competitions, including the Innocentive Predicting Product Purchase challenge and was awarded first prize for a visualisation that enables a pharmaceutical company in the US to optimize site selection for clinical trials.
He is an active participant in the online data science community and has authored several successful blog posts on deep reinforcement learning including ‘How To Build Your Own AlphaZero AI’.
"About the title" may belong to another edition of this title.
Austin Goodwill 1101
Austin, TX, U.S.A.
AbeBooks seller since May 21, 2021
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