000 | 03104cam a2200577 i 4500 | ||
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001 | 9781003203964 | ||
003 | FlBoTFG | ||
005 | 20240213122826.0 | ||
006 | m o d | ||
007 | cr cnu---unuuu | ||
008 | 221018t20232023flua ob 001 0 eng | ||
040 |
_aOCoLC-P _beng _erda _cOCoLC-P |
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020 |
_a9781003203964 _qelectronic book |
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020 |
_a1003203965 _qelectronic book |
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020 |
_a9781000840551 _qelectronic book |
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020 |
_a1000840557 _qelectronic book |
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020 |
_a9781000840568 _qelectronic book |
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020 |
_a1000840565 _qelectronic book |
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020 |
_z9781032068107 _qhardcover |
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020 |
_z9781032068114 _qpaperback |
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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 |
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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. |
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264 | 4 | _c©2023 | |
300 |
_a1 online resource (xiv, 208 pages) : _billustrations |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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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. |
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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 |