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Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: New. 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.Features:Presents a comprehensive guide on how to use GAN for images and videos.Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network, Intrusion detection using GANHighlights the inclusion of gaming effects using deep learning methodsExamines the significant technological advancements in GAN and its real-world application.Discusses as GAN challenges and optimal solutionsThe book addresses scientific aspects for a wider audience such as junior and senior engineering, undergraduate and postgraduate students, researchers, and anyone interested in the trends development and opportunities in GAN and Deep Learning.The material in the book can serve as a reference in libraries, accreditation agencies, government agencies, and especially the academic institution of higher education intending to launch or reform their engineering curriculum.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158810 ISBN 13: 9786206158813
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206159531 ISBN 13: 9786206159537
Da: moluna, Greven, Germania
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Condizione: New. pages cm First edition Includes bibliographical references and index.
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 83,55
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330091096 ISBN 13: 9783330091092
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Platelet Rich Fibrin(PRF): A Ray of Hope for Periodontal Regeneration | Pranav S. Patil (u. a.) | Taschenbuch | 56 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330091092 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659934151 ISBN 13: 9783659934155
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Spagnolo
Editore: Ediciones Nuestro Conocimiento, 2023
ISBN 10: 6206008126 ISBN 13: 9786206008125
Da: moluna, Greven, Germania
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Da: Kennys Bookstore, Olney, MD, U.S.A.
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 222 pages. 10.00x7.00x10.00 inches. In Stock.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3659934151 ISBN 13: 9783659934155
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 204 pages. 8.66x5.91x0.46 inches. In Stock.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Generative Adversarial Networks and Deep Learning | Theory and Applications | Roshani Raut (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Chapman and Hall/CRC | EAN 9781032068114 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207468384 ISBN 13: 9786207468386
Da: preigu, Osnabrück, Germania
EUR 67,10
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Glass Ionomer Cement | Pranav Patil (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207468386 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158810 ISBN 13: 9786206158813
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 114,02
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Aggiungi al carrellopaperback. Condizione: New. New. book.
Lingua: Spagnolo
Editore: Ediciones Nuestro Conocimiento, 2023
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206161471 ISBN 13: 9786206161479
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Aggiungi al carrellopaperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Da: Rarewaves.com UK, London, Regno Unito
EUR 77,47
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Aggiungi al carrelloPaperback. Condizione: New. 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.Features:Presents a comprehensive guide on how to use GAN for images and videos.Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network, Intrusion detection using GANHighlights the inclusion of gaming effects using deep learning methodsExamines the significant technological advancements in GAN and its real-world application.Discusses as GAN challenges and optimal solutionsThe book addresses scientific aspects for a wider audience such as junior and senior engineering, undergraduate and postgraduate students, researchers, and anyone interested in the trends development and opportunities in GAN and Deep Learning.The material in the book can serve as a reference in libraries, accreditation agencies, government agencies, and especially the academic institution of higher education intending to launch or reform their engineering curriculum.