Transformers for machine learning : (Record no. 690985)

MARC details
000 -LEADER
fixed length control field 01503cam a22002178i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780367771652
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780367767341
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.32
Edition number 23/eng/20220218
Item number KAM
084 ## - OTHER CLASSIFICATION NUMBER
Source of Number Colon Classification
100 1# - MAIN ENTRY--AUTHOR NAME
Personal name Kamath, Uday,
245 10 - TITLE STATEMENT
Title Transformers for machine learning :
Sub Title a deep dive /
Statement of responsibility, etc Uday Kamath, Kenneth Graham, Wael Emara.
250 ## - EDITION STATEMENT
Edition statement First edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication LONDON:
Name of publisher CRC PRESS,
Year of publication 2022.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 257 P.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc "Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers. The theoretical explanations of the state-of-the-art transformer architectures will appeal to postgraduate students and researchers (academic and industry) as it will provide a single entry point with deep discussions of a quickly moving field. The practical hands-on case studies and code will appeal to undergraduate students, practitioners, and professionals as it allows for quick experimentation and lowers the barrier to entry into the field"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Neural networks (Computer science).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Machine learning.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home Library Current Location Shelving location Date acquired Full call number Accession Number Price effective from Koha item type
        Non-fiction Dept. of Futures Studies Dept. of Futures Studies General Stacks 18/06/2023 006.32 KAM DFS4581 18/06/2023 Book