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

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The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks - Roberts, Daniel A, and Yaida, Sho, and Hanin, Boris (Contributions by)
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"This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject's traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first ...

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The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks 2022, Cambridge University Press, Cambridge

ISBN-13: 9781316519332

Hardcover