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The Principles of Deep Learning Theory : An Effective Theory Approach to Understanding Neural Networks

Cambridge University Press
SKU:
9781316519332
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UPC:
9781316519332
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This is the first book focused entirely on deep learning theory. Tools from theoretical physics are borrowed and adapted to explain, from first principles, how realistic deep neural networks work, benefiting practitioners looking to build better AI models and theorists looking for a unifying framework for understanding intelligence.


  • | : Daniel A. Roberts (Massachusetts Institute of Technology), Sho Yaida
  • | Publisher: Cambridge University Press
  • | Publication Date: May 26, 2022
  • | Country of Publication: United Kingdom
  • | Number of Pages: 472 pages
  • | Language: Unknown
  • | Binding: Hardback
  • | ISBN-10: 1316519333
  • | ISBN-13: 9781316519332
By (Author):
Daniel A. Roberts (Massachusetts Institute of Technology), Sho Yaida
Publisher:
Cambridge University Press
Publication Date:
May 26, 2022
Country of Publication:
United Kingdom
Language:
Unknown
Number of pages:
472 pages
Binding:
Hardback
ISBN-10:
1316519333
ISBN-13:
9781316519332