NLU Meghalaya Library

Online Public Access Catalogue (OPAC)

Generative adversarial networks and deep learning : (Record no. 5044)

MARC details
000 -LEADER
fixed length control field 03104cam a2200577 i 4500
001 - CONTROL NUMBER
control field 9781003203964
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240213122826.0
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 cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221018t20232023flua ob 001 0 eng
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Description conventions rda
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781003203964
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1003203965
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000840551
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000840557
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000840568
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000840565
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781032068107
Qualifying information hardcover
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781032068114
Qualifying information paperback
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1201/9781003203964
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1356576999
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1356576999
050 04 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5
Item number .G44 2023
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 037000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 044000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/1
Edition number 23/eng20221229
245 00 - TITLE STATEMENT
Title Generative adversarial networks and deep learning :
Remainder of title theory and applications /
Statement of responsibility, etc. edited by Roshani Raut, Pranav D Pathak, Sachin R Sakhare, Sonali Patil.
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Boca Raton, FL :
Name of producer, publisher, distributor, manufacturer CRC Press,
Date of production, publication, distribution, manufacture, or copyright notice 2023.
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2023
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xiv, 208 pages) :
Other physical details illustrations
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
520 ## - SUMMARY, ETC.
Summary, etc. "This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio. A generative adversarial network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications. Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology, including computer vision, security, multimedia and advertisements, image generation, image translation, text-to-images synthesis, video synthesis, generating high-resolution images, drug discovery, etc"--
Assigning source Provided by publisher.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Neural networks (Computer science)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Machine Theory
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Artificial Intelligence
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTERS / Neural Networks
Source of heading or term bisacsh
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Raut, Roshani,
Dates associated with a name 1981-
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pathak, Pranav D.,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sakhare, Sachin R.,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Patil, Sonali,
Relator term editor.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier <a href="https://www.taylorfrancis.com/books/9781003203964">https://www.taylorfrancis.com/books/9781003203964</a>
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a>

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