The Science of Deep Learning (Record no. 814522)

MARC details
000 -LEADER
fixed length control field 01954nam a22002297a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240104s2023 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108835084
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9781108835084
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number DRO
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Drori, Iddo
9 (RLIN) 879336
Relator term author
245 ## - TITLE STATEMENT
Title The Science of Deep Learning
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge :
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. c2023
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 338 p.
Other physical details : ill
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliographical References and Index
520 ## - SUMMARY, ETC.
Summary, etc. SUMMARY<br/><br/>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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 845
Topical term or geographic name entry element Machine Learning
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 166900
Topical term or geographic name entry element Deep Learning
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://www.cambridge.org/highereducation/books/the-science-of-deep-learning/23B3CE5B09590BD9E30474C850FA5358#contents ">https://www.cambridge.org/highereducation/books/the-science-of-deep-learning/23B3CE5B09590BD9E30474C850FA5358#contents </a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781108835084.pdf ">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781108835084.pdf </a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Physical Form Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Stock Type Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Budget Year Cost, replacement price Accession Date Koha item type
    Dewey Decimal Classification Text, Hardcover     Reference Section Reference Section Reference Section 01/01/2024 22 Purchased 16391.45   006.31 DRO 98525 19/02/2024 2023-24 16391.45 01/01/2024 Reference Collection