DEEP LEARNING (Record no. 603454)

MARC details
000 -LEADER
fixed length control field 01566nam a22001577a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180820b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-0-262-03561-3
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/GOO/BEN
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name GOODFELLOW, IAN
245 ## - TITLE STATEMENT
Title DEEP LEARNING
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc U.S
Name of publisher, distributor, etc MIT PRESS
Date of publication, distribution, etc 2016
300 ## - PHYSICAL DESCRIPTION
Extent xxii,775
520 ## - SUMMARY, ETC.
Summary, etc This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MACHINE LEARNING
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Full call number Barcode Date last seen Koha item type Public note
    Dewey Decimal Classification     Reference Symbiosis Institute of Computer Studies and Research Symbiosis Institute of Computer Studies and Research Reference 20/08/2018 RADIANT BOOK SERVICE 5768.00 006.3/GOO/BEN SICSR-B-19525 23/11/2021 Books MACHINE LEARNING