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The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
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  • Title: The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
  • Author(s) Daniel A. Roberts, Sho Yaida
  • Publisher: Cambridge University Press (May 26, 2022); eBook (Draft, Creative Commons Licensed)
  • License(s): Creative Commons License (CC)
  • Hardcover/Paperback: 472 pages
  • eBook: PDF (471 pages)
  • Language: English
  • ISBN-10: 1316519333
  • ISBN-13: 978-1316519332
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Book Description

This textbook establishes a theoretical framework for understanding deep learning models of practical relevance, provide clear and pedagogical explanations of how realistic deep neural networks actually work.

About the Authors
  • Daniel A. Roberts was cofounder and CTO of Diffeo, an AI company acquired by Salesforce; a research scientist at Facebook AI Research; and a member of the School of Natural Sciences at the Institute for Advanced Study in Princeton, NJ.
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