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Agriculture and Human Values
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 365937170X ISBN 13: 9783659371707
Language: English
Condition: New. pp. 64.
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Biorefinery: A Sustainable Approach for the Production of Biomaterials, Biochemicals and Biofuels
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Generative Adversarial Networks and Deep Learning
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Generative Adversarial Networks and Deep Learning : Theory and Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Condition: New.
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Generative Adversarial Networks and Deep Learning : Theory and Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Condition: As New. Unread book in perfect condition.
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Generative Adversarial Networks and Deep Learning
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Condition: New. pages cm First edition Includes bibliographical references and index.
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Generative adversarial networks and deep learning
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Condition: New. pages cm.
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Generative Adversarial Networks and Deep Learning : Theory and Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Generative Adversarial Networks and Deep Learning
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Generative Adversarial Networks and Deep Learning: Theory and Applications
Published by Chapman and Hall/CRC -, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
paperback. Condition: New.
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Generative Adversarial Networks and Deep Learning: Theory and Applications
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 408.
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Generative Adversarial Networks and Deep Learning
Published by Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: 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.
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Generative Adversarial Networks and Deep Learning : Theory and Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Generative Adversarial Networks and Deep Learning: Theory and Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
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Generative Adversarial Networks and Deep Learning: Theory and Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Paperback. Condition: Brand New. 222 pages. 10.00x7.00x10.00 inches. In Stock.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Generative Adversarial Networks and Deep Learning: Theory and Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Condition: New.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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GENERATIVE ADVERSARIAL NETWORKS AND DEE
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Condition: NEW.
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Generative Adversarial Networks and Deep Learning: Theory and Applications
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Paperback. Condition: Brand New. 222 pages. 10.00x7.00x10.00 inches. In Stock.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Generative Adversarial Networks and Deep Learning (Paperback)
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Paperback. Condition: new. Paperback. 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 This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. It concentrates on cutting-edge research in DL and GAN which includes creating new tools and methods for processing text, images, and audio. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Generative Adversarial Networks and Deep Learning (Paperback)
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Paperback. Condition: new. Paperback. 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 This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. It concentrates on cutting-edge research in DL and GAN which includes creating new tools and methods for processing text, images, and audio. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Agriculture And Human Values: An Era towards a new dawn
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 365937170X ISBN 13: 9783659371707
Language: English
Paperback. Condition: Like New. Like New. Ships from Multiple Locations. book.
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Generative Adversarial Networks and Deep Learning
Published by Taylor and Francis Ltd, GB, 2024
ISBN 10: 1032068116 ISBN 13: 9781032068114
Language: English
Paperback. Condition: 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.
