Deep Learning

  • Publsiher : MIT Press
  • Release : 18 November 2016
  • ISBN : 9780262035613
  • Page : 775 pages
  • Rating : 3.5/5 from 5 voters

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Download or read book entitled Deep Learning written by Ian Goodfellow and published by MIT Press online. This book was released on 18 November 2016 with total pages 775. Available in PDF, EPUB and Kindle. Get best books that you want by click Get Book Button and Read as many books as you like.

Book Excerpt : 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.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. 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. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Deep Learning

Deep Learning
Author: Ian Goodfellow,Yoshua Bengio,Aaron Courville
Publisher: MIT Press
Relase: 2016-11-18
ISBN: 9780262035613
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Deep Learning

Deep Learning
Author: Ian Goodfellow,Yoshua Bengio,Aaron Courville
Publisher: MIT Press
Relase: 2016-11-10
ISBN: 9780262337373
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Deep Learning

Deep Learning
Author: Ian Goodfellow
Publisher: Unknown
Relase: 2013
ISBN: OCLC:1120369889
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Deep Learning

Deep Learning
Author: Siddhartha Bhattacharyya,Vaclav Snasel,Aboul Ella Hassanien,Satadal Saha,B. K. Tripathy
Publisher: Walter de Gruyter GmbH & Co KG
Relase: 2020-06-22
ISBN: 9783110670929
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Deep Learning with Python

Deep Learning with Python
Author: Francois Chollet
Publisher: Manning Publications
Relase: 2017-10-28
ISBN: 1617294438
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Programming Machine Learning

Programming Machine Learning
Author: Paolo Perrotta
Publisher: Pragmatic Bookshelf
Relase: 2020-03-31
ISBN: 9781680507713
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Deep Learning

Deep Learning
Author: Josh Patterson,Adam Gibson
Publisher: "O'Reilly Media, Inc."
Relase: 2017-07-28
ISBN: 9781491914236
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Deep Learning

Deep Learning
Author: Frank Millstein
Publisher: Frank Millstein
Relase: 2020-08-14
ISBN: 0987654321XXX
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Deep Learning for Coders with fastai and PyTorch

Deep Learning for Coders with fastai and PyTorch
Author: Jeremy Howard,Sylvain Gugger
Publisher: "O'Reilly Media, Inc."
Relase: 2020-06-29
ISBN: 9781492045472
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Deep Learning Illustrated

Deep Learning Illustrated
Author: Jon Krohn,Grant Beyleveld,Aglaé Bassens
Publisher: Addison-Wesley Professional
Relase: 2019-08-05
ISBN: 9780135121726
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Introduction to Deep Learning

Introduction to Deep Learning
Author: Eugene Charniak
Publisher: MIT Press
Relase: 2019-02-19
ISBN: 9780262351645
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TensorFlow for Deep Learning

TensorFlow for Deep Learning
Author: Bharath Ramsundar,Reza Bosagh Zadeh
Publisher: "O'Reilly Media, Inc."
Relase: 2018-03-01
ISBN: 9781491980408
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Neural Networks and Deep Learning

Neural Networks and Deep Learning
Author: Charu C. Aggarwal
Publisher: Springer
Relase: 2018-08-25
ISBN: 9783319944630
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Deep Learning

Deep Learning
Author: Michael Fullan,Joanne Quinn,Joanne McEachen
Publisher: Corwin Press
Relase: 2017-11-06
ISBN: 9781506368597
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Deep Learning with PyTorch

Deep Learning with PyTorch
Author: Eli Stevens,Luca Antiga,Thomas Viehmann
Publisher: Manning Publications
Relase: 2020-08-04
ISBN: 9781617295263
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