Recently Viewed

New

Deep Generative Modeling Jakub M. Tomczak 9783031640865

No reviews yet Write a Review
Booksplease Price: £55.91

  Bookmarks: Included free with every order
  Delivery: We ship to over 200 countries from the UK
  Range: Millions of books available
  Reviews: Booksplease rated "Excellent" on Trustpilot

  FREE UK DELIVERY: When You Buy 3 or More Books - Use code: FREEUKDELIVERY in your cart!

SKU:
9783031640865
MPN:
9783031640865
Available from Booksplease!
Global delivery available
Global delivery available
Global delivery available
Global delivery available
Global delivery available
Availability: Usually dispatched within 4 working days

Frequently Bought Together:

Total: Inc. VAT
Total: Ex. VAT

Description

This first comprehensive book on models behind Generative AI has been thoroughly revised to cover all major classes of deep generative models: mixture models, Probabilistic Circuits, Autoregressive Models, Flow-based Models, Latent Variable Models, GANs, Hybrid Models, Score-based Generative Models, Energy-based Models, and Large Language Models. In addition, Generative AI Systems are discussed, demonstrating how deep generative models can be used for neural compression, among others.

Deep Generative Modeling is designed to appeal to curious students, engineers, and researchers with a modest mathematical background in undergraduate calculus, linear algebra, probability theory, and the basics of machine learning, deep learning, and programming in Python and PyTorch (or other deep learning libraries). It should find interest among students and researchers from a variety of backgrounds, including computer science, engineering, data science, physics, and bioinformatics who wish to get familiar with deep generative modeling.
In order to engage with a reader, the book introduces fundamental concepts with specific examples and code snippets. The full code accompanying the book is available on the author's GitHub site: github.com/jmtomczak/intro_dgm

The ultimate aim of the book is to outline the most important techniques in deep generative modeling and, eventually, enable readers to formulate new models and implement them.

 

 

 



Book Information
ISBN 9783031640865
Author Jakub M. Tomczak
Format Hardback
Page Count 300
Imprint Springer International Publishing AG
Publisher Springer International Publishing AG

Reviews

No reviews yet Write a Review

Booksplease  Reviews