by David Foster (Author) Generative Deep Learning Reviews Summary

Ratings Breakdown

5%
1%
7%
12%
75%
Rated 4.5 by 213 people

Pros from Reviews

  • High-quality content
  • Useful code
  • Readable and refreshing
  • Covers key deep learning tools
  • Great explanation of concepts
  • Well-written textbook
  • Good introductory text
  • Complete and relevant content

Cons from Reviews

  • Book reads like a children's story
  • Obscure code
  • Lack of clarity in code
  • Thin paper and poor printing quality
  • Some analogies could be better
  • Lack of details on training difficulties
  • Lack of depth in some topics
  • Issues with code and lack of comments

Notable Features

Generative Modeling
Deep Learning
Variational Autoencoders
Generative Adversarial Networks
Creative Tasks
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