MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03089nam a2200253 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
230228s2016 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780262035613 |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| ISSN-L |
9780262035613 |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Item number |
GOO |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Relator term |
author |
| Personal name |
Goodfellow, Ian |
| 9 (RLIN) |
674053 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Deep Learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cambridge, Massachusetts : |
| Name of publisher, distributor, etc. |
The MIT Press, |
| Date of publication, distribution, etc. |
c2016 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XXII, 775 p. |
| Other physical details |
: ill |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Adaptive Computation and Machine Learning |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes Bibliographical References and Index |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Summary:<br/><br/>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.<br/><br/>“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.”<br/>—Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX<br/><br/>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.<br/><br/>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.<br/><br/>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.<br/><br/> |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
845 |
| Topical term or geographic name entry element |
Machine Learning |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Relator term |
author |
| Personal name |
Bengio, Yoshua |
| 9 (RLIN) |
674054 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Relator term |
author |
| Personal name |
Courville, Aaron |
| 9 (RLIN) |
674055 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://www.penguinrandomhouse.com/books/657340/deep-learning-by-ian-goodfellow-yoshua-bengio-and-aaron-courville/#">https://www.penguinrandomhouse.com/books/657340/deep-learning-by-ian-goodfellow-yoshua-bengio-and-aaron-courville/#</a> |
| Link text |
web link |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="insight.randomhouse.com/widget/v4/?width=600&height=860&isbn=9780262035613&shortCode=657340&author=Ian Goodfellow%2C Yoshua Bengio and Aaron Courville&title=Deep Learning&refererURL=www.penguinrandomhouse.com">insight.randomhouse.com/widget/v4/?width=600&height=860&isbn=9780262035613&shortCode=657340&author=Ian Goodfellow%2C Yoshua Bengio and Aaron Courville&title=Deep Learning&refererURL=www.penguinrandomhouse.com</a> |
| Materials specified |
TOC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Suppress in OPAC |
No |
| Koha item type |
Book |
