
Generative Deep Learning, 2nd Edition
Teaching Machines To Paint, Write, Compose, and Play
$130.05
- Paperback
453 pages
- Release Date
30 June 2023
Summary
Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.
The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through…
Book Details
| ISBN-13: | 9781098134181 |
|---|---|
| ISBN-10: | 1098134184 |
| Author: | David Foster |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 453 |
| Edition: | 2nd |
| Release Date: | 30 June 2023 |
| Weight: | 786g |
| Dimensions: | 233mm x 178mm |
About The Author
David Foster
David Foster is a Founding Partner of ADSP, a consultancy delivering bespoke data science and AI solutions. He holds an MA in Mathematics from Trinity College, Cambridge and an MSc in Operational Research from the University of Warwick. Through ADSP, David leads the delivery of high-profile data science and AI projects across the public and private sectors. He has won several international machine-learning competitions, including the Innocentive Predicting Product Purchase challenge and for delivering a process to enable a pharmaceutical company in the US to optimize site selection for clinical trials. He is a member of the Machine Learning Institute Faculty and has given talks internationally on topics related to the application of cutting-edge data science and AI within industry and academia.
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.




