Deep learning : (Record no. 489659)

MARC details
000 -LEADER
fixed length control field 04994cam a2200433 i 4500
001 - CONTROL NUMBER
control field 1407315777
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240906093807.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr un|---aucuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231104s2023 sz o 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 3031454685
Qualifying information (electronic bk.)
International Standard Book Number 9783031454684
Qualifying information (electronic bk.)
Canceled/invalid ISBN 3031454677
Canceled/invalid ISBN 9783031454677
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-45468-4
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1407315777
Canceled/invalid control number (OCoLC)1407278574
-- (OCoLC)1422256285
040 ## - CATALOGING SOURCE
Original cataloging agency LIS CUI Abbottabad
Language of cataloging eng
Description conventions rda
Transcribing agency RDA
Modifying agency YDX
-- GW5XE
-- N$T
-- AU@
-- OCLCF
-- TXA
-- OCLCO
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.73
Item number .B574 2024eb
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/1
Edition number 23/eng/20231117
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bishop, Christopher M.
Authority record control number or standard number https://id.loc.gov/authorities/names/n95083764
245 10 - TITLE STATEMENT
Title Deep learning :
Remainder of title foundations and concepts /
Statement of responsibility, etc. Christopher M. Bishop, Hugh Bishop
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2023
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (656 pages)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Available to OhioLINK libraries
520 ## - SUMMARY, ETC.
Summary, etc. This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Covering key concepts relating to contemporary architectures and techniques, this essential book equips readers with a robust foundation for potential future specialization. The field of deep learning is undergoing rapid evolution, and therefore this book focusses on ideas that are likely to endure the test of time. The book is organized into numerous bite-sized chapters, each exploring a distinct topic, and the narrative follows a linear progression, with each chapter building upon content from its predecessors. This structure is well-suited to teaching a two-semester undergraduate or postgraduate machine learning course, while remaining equally relevant to those engaged in active research or in self-study. A full understanding of machine learning requires some mathematical background and so the book includes a self-contained introduction to probability theory. However, the focus of the book is on conveying a clear understanding of ideas, with emphasis on the real-world practical value of techniques rather than on abstract theory. Complex concepts are therefore presented from multiple complementary perspectives including textual descriptions, diagrams, mathematical formulae, and pseudo-code. Chris Bishop is a Technical Fellow at Microsoft and is the Director of Microsoft Research AI4Science. He is a Fellow of Darwin College Cambridge, a Fellow of the Royal Academy of Engineering, and a Fellow of the Royal Society. Hugh Bishop is an Applied Scientist at Wayve, a deep learning autonomous driving company in London, where he designs and trains deep neural networks. He completed his MPhil in Machine Learning and Machine Intelligence at Cambridge University. Chris Bishop wrote a terrific textbook on neural networks in 1995 and has a deep knowledge of the field and its core ideas. His many years of experience in explaining neural networks have made him extremely skillful at presenting complicated ideas in the simplest possible way and it is a delight to see these skills applied to the revolutionary new developments in the field. -- Geoffrey Hinton "With the recent explosion of deep learning and AI as a research topic, and the quickly growing importance of AI applications, a modern textbook on the topic was badly needed. The "New Bishop" masterfully fills the gap, covering algorithms for supervised and unsupervised learning, modern deep learning architecture families, as well as how to apply all of this to various application areas." Yann LeCun This excellent and very educational book will bring the reader up to date with the main concepts and advances in deep learning with a solid anchoring in probability. These concepts are powering current industrial AI systems and are likely to form the basis of further advances towards artificial general intelligence. -- Yoshua Bengio
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Deep learning (Machine learning)
Authority record control number or standard number https://id.loc.gov/authorities/subjects/sh2021006947
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bishop, Hugh
Titles and other words associated with a name (Scientist)
Authority record control number or standard number https://id.loc.gov/authorities/names/ns2024000778
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Ohio Library and Information Network.
Authority record control number or standard number https://id.loc.gov/authorities/names/no95058981
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Bishop, Christopher M.
Title Deep Learning
Place, publisher, and date of publication Cham : Springer International Publishing AG,c2023
International Standard Book Number 9783031454677
852 ## - LOCATION
Copy number 10003000038717
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified OhioLINK
Public note Connect to resource
Uniform Resource Identifier <a href="https://rave.ohiolink.edu/ebooks/ebc2/9783031454684">https://rave.ohiolink.edu/ebooks/ebc2/9783031454684</a>
Materials specified SpringerLink
Public note Connect to resource
Uniform Resource Identifier <a href="https://link.springer.com/10.1007/978-3-031-45468-4">https://link.springer.com/10.1007/978-3-031-45468-4</a>
Materials specified SpringerLink
Public note Connect to resource (off-campus)
Uniform Resource Identifier <a href="https://go.ohiolink.edu/goto?url=https://link.springer.com/10.1007/978-3-031-45468-4">https://go.ohiolink.edu/goto?url=https://link.springer.com/10.1007/978-3-031-45468-4</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Suppress in OPAC No
Holdings
Date last seen Total checkouts Full call number Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Withdrawn status Home library Barcode Current library Date acquired
09/04/2024   006.31 BIS 09/04/2024 Books   Dewey Decimal Classification       COMSATS University Abbottabad Campus 10003000038717 COMSATS University Abbottabad, Dhamtor Campus 09/04/2024