The principles of deep learning theory : (Record no. 57709)

MARC details
000 -LEADER
fixed length control field 02290nam\a2200277\a\4500
001 - CONTROL NUMBER
control field 57709
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260222114616.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260222s2022 nyu ob 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781316519332
Qualifying information (epub)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781316519332
Qualifying information (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
Modifying agency BD-DhIUB
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Edition number 23/eng20220215
Item number R639p
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Roberts, Daniel A.,
Dates associated with a name 1987-
Relator term author.
245 14 - TITLE STATEMENT
Title The principles of deep learning theory :
Remainder of title an effective theory approach to understanding neural networks /
Statement of responsibility, etc Daniel A. Roberts and Sho Yaida based on research in collaboration with Boris Hanin.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc United Kingdom
Name of publisher, distributor, etc Cambridge University Press,
Date of publication, distribution, etc 2022
300 ## - PHYSICAL DESCRIPTION
Extent ix,460p;.
Dimensions 24cm
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc "This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject's traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first-principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self-contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus, and informal probability theory, and it can easily fill a semester-long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be matched with a set of effective principles, providing a timeless blueprint for theoretical research in deep learning"--
526 ## - STUDY PROGRAM INFORMATION NOTE
School name School of engineering, Technology &Sciences
Department Physical Science
Shelving Location Reference Stacks
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE
Source of acquisition Trim Education
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Deep learning (Machine learning)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SCIENCE / Physics / Mathematical & Computational
Source of heading or term bisacsh
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Main entry heading Roberts, Daniel A., 1987-
Title Principles of deep learning theory
Place, publisher, and date of publication New York : Cambridge University Press, 2022
International Standard Book Number 9781316519332
Record control number (DLC) 2021060635
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Serial Enumeration / chronology Total Checkouts Full call number Barcode Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan Library, Independent University, Bangladesh (IUB) Library, Independent University, Bangladesh (IUB) Reference Stacks 17/02/2026 Purchase 7925.00 2022   006.31 R639p 029571 22/02/2026 01 15850.00 17/02/2026 Books