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

Seller: WeBuyBooks, Rossendale, LANCS, United KingdomWeBuyBooks
AbeBooks seller since November 14, 2005
Condition: Used - As new
US$ 7.04
Quantity: 1 available
Add to basketItem description from seller
Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
Seller Inventory # rev1377634661
- Title
- Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play
- Author
- Foster, David
- Publisher
- O′Reilly
- Publication year
- 2019
- Condition
- Like New
- Binding
- paperback
- Language
- English
- ISBN 10
- 1492041947
- ISBN 13
- 9781492041948
- Item weight
- 590 grams
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.
WeBuyBooks
Rossendale, LANCS, United Kingdom
AbeBooks seller since November 14, 2005
Shipping rates from United Kingdom to U.S.A.
| Item | 5 to 10 business days | 5 to 10 business days |
|---|---|---|
| First item | US$ 9.67 | US$ 9.67 |
Payment methods
Specialty
General Secondhand BooksSeller's business information
Revival Books Ltd
Unit 11 Hugh Business Park, Bacup Road, Waterfoot
Rossendale, United Kingdom BB4 7BT
Terms of sale
WeBuyBooks
Hall Carr Mill
Fallbarn Road
Rawtenstall
Lancashire BB4 7NX
Email: Sales@webuybooks.co.uk
Tel: 01706 227207
Company Reg. No. 07693718
VAT Number 901 5786 27
Authorised Representatives: Michael Lane and Damian Carr
Shipping terms
Shipping costs are based on books weighing 2.2 LB, or 1 KG. If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.