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.
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
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
TensorFlow for Deep Learning
Language: en
Pages: 247
Authors: Bharath Ramsundar
Categories: Computers
Type: BOOK - Published: 2018-03-01 - Publisher: "O'Reilly Media, Inc."

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Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some back
Deep Learning
Language: en
Pages: 801
Authors: Ian Goodfellow
Categories: Computers
Type: BOOK - Published: 2016-11-10 - Publisher: MIT Press

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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and res