(https://i.postimg.cc/HxrCcjL5/ltzx0im28v5j7zdi3bylidw2zvqdi1o6.jpg)
English | 2023 | ISBN: 9781098134174 | 286 Pages | EPUB | 43 MB
Generative modeling is one of the hottest topics in AI. It is 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), Transformers, normalizing flows, and diffusion models.
DOWNLOAD
ddownload.com:
https://ddownload.com/aq1419woctvn/xzucc.Generative.Deep.Learning.2nd.Edition.5th.Early.Release.epub (https://ddownload.com/aq1419woctvn/xzucc.Generative.Deep.Learning.2nd.Edition.5th.Early.Release.epub)
rapidgator.net:
https://rapidgator.net/file/d3f5fadf3077b3fc49225be81191f4c1/xzucc.Generative.Deep.Learning.2nd.Edition.5th.Early.Release.epub.html (https://rapidgator.net/file/d3f5fadf3077b3fc49225be81191f4c1/xzucc.Generative.Deep.Learning.2nd.Edition.5th.Early.Release.epub.html)
nitroflare.com:
https://nitroflare.com/view/2B45EB2EF4A5C08/xzucc.Generative.Deep.Learning.2nd.Edition.5th.Early.Release.epub (https://nitroflare.com/view/2B45EB2EF4A5C08/xzucc.Generative.Deep.Learning.2nd.Edition.5th.Early.Release.epub)