The Principles of Deep Learning Theory

The Principles of Deep Learning Theory
Author: Daniel A. Roberts
Publisher: Cambridge University Press
Total Pages: 473
Release: 2022-05-26
Genre: Computers
ISBN: 1316519333

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This volume develops an effective theory approach to understanding deep neural networks of practical relevance.


The Principles of Deep Learning Theory
Language: en
Pages: 473
Authors: Daniel A. Roberts
Categories: Computers
Type: BOOK - Published: 2022-05-26 - Publisher: Cambridge University Press

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This volume develops an effective theory approach to understanding deep neural networks of practical relevance.
Principles and Labs for Deep Learning
Language: en
Pages: 366
Authors: Shih-Chia Huang
Categories: Science
Type: BOOK - Published: 2021-07-06 - Publisher: Academic Press

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Principles and Labs for Deep Learning provides the knowledge and techniques needed to help readers design and develop deep learning models. Deep Learning techni
Understanding Machine Learning
Language: en
Pages: 415
Authors: Shai Shalev-Shwartz
Categories: Computers
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press

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Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
Deep Learning in Science
Language: en
Pages: 387
Authors: Pierre Baldi
Categories: Computers
Type: BOOK - Published: 2021-07 - Publisher: Cambridge University Press

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Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.
Geometry of Deep Learning
Language: en
Pages: 338
Authors: Jong Chul Ye
Categories: Mathematics
Type: BOOK - Published: 2022-01-05 - Publisher: Springer Nature

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The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than