Name: The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks
Price: 1679.00 ZAR
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Author: Roberts, Daniel A. ; Yaida, Sho ; Hanin, Boris
ISBN: 9781316519332

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

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

Type

Physical Book

Author

Daniel A. Roberts

Sho Yaida

Contributions by

Boris Hanin

Publisher

Cambridge University Press

Year

2022

Language

English

Pages

390

Format

Hardcover

Dimensions

25.4 x 17.8 x 2.5 cm

Weight

1.03 kg.

ISBN13

9781316519332

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

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-principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self-contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus, and informal probability theory, and it can easily fill a semester-long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be matched with a set of effective principles, providing a timeless blueprint for theoretical research in deep learning.

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The Principles of Deep Learning Theory: An Effective Theory Approach to Understanding Neural Networks - Roberts, Daniel A. ; Yaida, Sho ; Hanin, Boris

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

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