Deep learning / (Record no. 15266)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02343 a2200229 4500 |
| 001 - CONTROL NUMBER | |
| control field | TB12757 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IN-BhIIT |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260313175229.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260205b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780262035613 (hbk.) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IN-BhIIT |
| 041 ## - LANGUAGE CODE | |
| Language code of text | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Book number | GOO/D |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Goodfellow, Ian |
| Relator term | Author |
| 245 ## - TITLE STATEMENT | |
| Title | Deep learning / |
| Statement of responsibility, etc | Ian Goodfellow, Yoshua Bengio, Aaron Courville |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Londaon : |
| Name of publisher | MIT Press, |
| Year of publication | 2016. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxii, 775 p. : |
| Other physical details(ill.) | ill. ; |
| Dimensions(size) | 22 cm. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bengio, Yoshua |
| Relator term | Joint Author |
| Personal name | Courville, Aaron |
| Relator term | Joint Author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Text Book |
| Koha issues (borrowed), all copies | 1 |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not withdrawn | Not Lost | not damaged | Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 21/01/2026 | 39 | 6557.59 | 006.3 GOO/D | TB12757 | 8983.00 | 21/01/2026 | Text Book | ||
| Not withdrawn | Not Lost | not damaged | Central Library, IIT Bhubaneswar | Central Library, IIT Bhubaneswar | 21/01/2026 | 39 | 6557.59 | 006.3 GOO/D | TB12756 | 8983.00 | 21/01/2026 | Course Reserve |