MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02366cam a2200349Ii 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
1350599316 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240304141602.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
220525s2023 enkab b 001 0 eng d |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
|---|
| National bibliography number |
GBC295027 |
| Source |
bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
|---|
| Record control number |
020627806 |
| Source |
Uk |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781108835084 (hardback) |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
.b108906152 |
|
|---|
| System control number |
(OCoLC)1350599316 |
| Canceled/invalid control number |
(OCoLC)1322049214 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
SNK |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
SNK |
| Modifying agency |
OCLCF |
| -- |
PAU |
| -- |
YDX |
| -- |
UKMGB |
| -- |
EEM |
| -- |
HUH |
| -- |
OCLCO |
| -- |
OSU |
| -- |
UtOrBLW |
| 049 ## - LOCAL HOLDINGS (OCLC) |
|---|
| Holding library |
OSUU |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Drori, Iddo. |
| Authority record control number or standard number |
http://id.loc.gov/authorities/names/nb2022013367 |
| 245 14 - TITLE STATEMENT |
|---|
| Title |
The science of deep learning / |
| Statement of responsibility, etc. |
Iddo Drori |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Cambridge : |
| Name of producer, publisher, distributor, manufacturer |
Cambridge University Press, |
| Date of production, publication, distribution, manufacture, or copyright notice |
©2023. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxii, 338 pages : |
| Other physical details |
illustrations (black and white, and colour), maps (colour) ; |
| Dimensions |
25 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Formerly CIP. |
| Institution to which field applies |
Uk |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references (pages 299-334) and index |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
|---|
| Additional physical form available note |
Also issued online |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Deep learning (Machine learning) |
| Form subdivision |
Textbooks |
| 655 #7 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Textbooks. |
| Source of term |
fast |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| Suppress in OPAC |
No |
