000 03104cam a2200577 i 4500
001 9781003203964
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006 m o d
007 cr cnu---unuuu
008 221018t20232023flua ob 001 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9781003203964
_qelectronic book
020 _a1003203965
_qelectronic book
020 _a9781000840551
_qelectronic book
020 _a1000840557
_qelectronic book
020 _a9781000840568
_qelectronic book
020 _a1000840565
_qelectronic book
020 _z9781032068107
_qhardcover
020 _z9781032068114
_qpaperback
024 7 _a10.1201/9781003203964
_2doi
035 _a(OCoLC)1356576999
035 _a(OCoLC-P)1356576999
050 0 4 _aQ325.5
_b.G44 2023
072 7 _aCOM
_x037000
_2bisacsh
072 7 _aCOM
_x004000
_2bisacsh
072 7 _aCOM
_x044000
_2bisacsh
072 7 _aUYQ
_2bicssc
082 0 0 _a006.3/1
_223/eng20221229
245 0 0 _aGenerative adversarial networks and deep learning :
_btheory and applications /
_cedited by Roshani Raut, Pranav D Pathak, Sachin R Sakhare, Sonali Patil.
250 _aFirst edition.
264 1 _aBoca Raton, FL :
_bCRC Press,
_c2023.
264 4 _c©2023
300 _a1 online resource (xiv, 208 pages) :
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _a"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"--
_cProvided by publisher.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aMachine learning.
650 0 _aNeural networks (Computer science)
650 7 _aCOMPUTERS / Machine Theory
_2bisacsh
650 7 _aCOMPUTERS / Artificial Intelligence
_2bisacsh
650 7 _aCOMPUTERS / Neural Networks
_2bisacsh
700 1 _aRaut, Roshani,
_d1981-
_eeditor.
700 1 _aPathak, Pranav D.,
_eeditor.
700 1 _aSakhare, Sachin R.,
_eeditor.
700 1 _aPatil, Sonali,
_eeditor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003203964
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c5044
_d5044