Deep learning / (Record no. 8120)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02787cam a2200241 i 4500 |
| 005 - DATE & TIME | |
| control field | 20221206110233.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 160613t20162016maua b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2016022992 |
| 020 ## - ISBN | |
| International Standard Book Number | 9780262035613 (hardcover : alk. paper) |
| 020 ## - ISBN | |
| International Standard Book Number | 0262035618 (hardcover : alk. paper) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | S.X.U.K |
| 041 ## - Language | |
| Language | English |
| 082 00 - DDC NUMBER | |
| Classification number | R 006.31 GOO(DEE) |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Goodfellow, Ian, |
| 245 10 - TITLE STATEMENT | |
| Title | Deep learning / |
| Statement of responsibility | Ian Goodfellow, Yoshua Bengio, and Aaron Courville. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Massachusetts |
| Name of publisher, distributor, etc | Cambridge |
| Date of publication, distribution, etc | c2016 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | xxii, 775 pages : |
| Other Details | illustrations (some color) ;H.B. |
| Dimension | 24 cm. |
| 500 ## - GENERAL NOTE | |
| General note | 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. |
| 650 #0 - Subject | |
| Subject | Machine learning, |
| 700 1# - Added Entry Personal Name | |
| Added Entry Personal Name | Bengio, Yoshua, |
| 700 1# - Added Entry Personal Name | |
| Added Entry Personal Name | Courville, Aaron, |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | REFERENCE COMPUTER SCIENCE |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Koha collection | Location (home branch) | Sublocation or collection (holding branch) | Shelving location | Date acquired | Source of acquisition | Serial Enumeration / chronology | Koha full call number | Barcode (Accession No.) | Koha date last seen | Copy Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Not For Loan | Reference | St. Xavier's University, Kolkata | St. Xavier's University, Kolkata | Reference Section | 11/24/2022 | BHARAT BOOKS | S.X.U.K | R 006.31 GOO(DEE) | UCS8301 | 11/24/2022 | 8301 | 11/24/2022 | REFERENCE COMPUTER SCIENCE |