The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Daniel A. Roberts, Sho Yaida, Boris Hanin
Language: English
Published by Cambridge University Press, 2022
- Hardcover
- New
Seller: Red's Corner LLC, Tucker, GA, U.S.A.Red's Corner LLC
AbeBooks seller since March 26, 2018
Condition: New
£ 56.75
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Seller Inventory # mon0000056147
- Title
- The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
- Author
- Daniel A. Roberts, Sho Yaida, Boris Hanin
- Publisher
- Cambridge University Press
- Publication year
- 2022
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1316519333
- ISBN 13
- 9781316519332
"Synopsis" may belong to another edition of this title.
About the Author
Sho Yaida is a research scientist at Meta AI. Prior to joining Meta AI, he obtained his PhD in physics at Stanford University and held postdoctoral positions at MIT and at Duke University. At Meta AI, he uses tools from theoretical physics to understand neural networks, the topic of this book.
Boris Hanin is an Assistant Professor at Princeton University in the Operations Research and Financial Engineering Department. Prior to joining Princeton in 2020, Boris was an Assistant Professor at Texas A&M in the Math Department and an NSF postdoc at MIT. He has taught graduate courses on the theory and practice of deep learning at both Texas A&M and Princeton.
"About the title" may belong to another edition of this title.
Red's Corner LLC
Tucker, GA, U.S.A.
AbeBooks seller since March 26, 2018
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