• 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.

• 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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• Deep Learning and Neural Networks
• Machine Learning
• Artificial Intelligence

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