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An MIT Press book. Ian Goodfellow and Yoshua Bengio and Aaron Courville. Exercises   Lectures   External Links  . The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.
- 5 Machine Learning Basics
5 Machine Learning Basics - Deep Learning
- Part II
accomplished via deep learning, given sufficien tly large mo...
- 2 Linear Algebra
In the con text of deep learning, we also use some less conv...
- Table of Contents
iii. CONTENTS. 9.8 Efficien t Con v olution Algorithms. . . ....
- 13 Linear Factor Models
Learning. the mo del then pro ceeds as usual, using maximum...
- 7 Regularization for Deep Learning
7 Regularization for Deep Learning - Deep Learning
- 8 Optimization for Training Deep Models
8 Optimization for Training Deep Models - Deep Learning
- 16 Structured Probabilistic Models for Deep Learning
16 Structured Probabilistic Models for Deep Learning - Deep...
- 5 Machine Learning Basics
Compre online Deep Learning, de Ian Goodfellow na Amazon. Frete GRÁTIS em milhares de produtos com o Amazon Prime. Encontre diversos livros escritos por Ian Goodfellow com ótimos preços.
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18 de nov. de 2016 · A book that covers the mathematical and conceptual background, techniques, and applications of deep learning. It is written by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, experts in the field of machine learning.
18 de nov. de 2016 · Deep Learning. Ian Goodfellow, Yoshua Bengio, Aaron Courville. MIT Press, Nov 18, 2016 - Computers - 800 pages. An introduction to a broad range of topics in deep learning, covering...
18 de nov. de 2016 · Ian Goodfellow. Yoshua Bengio. Deep Learning (Adaptive Computation and Machine Learning series) by Ian Goodfellow (Author), Yoshua Bengio (Author), Aaron Courville (Author) 4.3 2,194 ratings. See all formats and editions.
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- Ian Goodfellow, Yoshua Bengio, Aaron Courville
- Ian Goodfellow, Yoshua Bengio, Aaron Courville
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.”
10 de mai. de 2022 · This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning.
