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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 Learning: Architectures and Applications (Intelligent Systems Reference Library)
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Generative Adversarial Learning: Architectures and Applications (Intelligent Systems Reference Library, 217)
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Generative Adversarial Learning : Architectures and Applications
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Generative Adversarial Learning : Architectures and Applications
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Add to basketHardcover. Condition: Brand New. Brand New! Fast Delivery US Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Generative Adversarial Learning: Architectures and Applications
Published by Springer International Publishing, Springer International Publishing Feb 2023, 2023
ISBN 10: 3030913929 ISBN 13: 9783030913922
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs¿ theoretical developments and their applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch.
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Generative Adversarial Learning: Architectures and Applications
Published by Springer International Publishing, 2023
ISBN 10: 3030913929 ISBN 13: 9783030913922
Language: English
US$ 231.23
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs' theoretical developments and their applications.
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Generative Adversarial Learning: Architectures and Applications
Published by Springer International Publishing, 2022
ISBN 10: 3030913899 ISBN 13: 9783030913892
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs' theoretical developments and their applications.
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Add to basketPaperback. Condition: Brand New. 355 pages. 9.25x6.10x0.94 inches. In Stock.
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Generative Adversarial Learning: Architectures and Applications
Published by Springer International Publishing, 2023
ISBN 10: 3030913929 ISBN 13: 9783030913922
Language: English
US$ 195.12
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents high-quality research articles addressing theoretical work for improving the learning process Provides a gentle introduction to GANs and related domainsDescribes most well-known GAN architectures and applications domains.
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Generative Adversarial Learning: Architectures and Applications
Published by Springer International Publishing, 2022
ISBN 10: 3030913899 ISBN 13: 9783030913892
Language: English
US$ 195.12
Convert currencyUS$ 57.10 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents high-quality research articles addressing theoretical work for improving the learning process Provides a gentle introduction to GANs and related domainsDescribes most well-known GAN architectures and applications domains.
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Generative Adversarial Learning: Architectures and Applications
Published by Springer International Publishing Feb 2023, 2023
ISBN 10: 3030913929 ISBN 13: 9783030913922
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 231.23
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs' theoretical developments and their applications. 372 pp. Englisch.
-
Generative Adversarial Learning: Architectures and Applications
Published by Springer International Publishing Feb 2022, 2022
ISBN 10: 3030913899 ISBN 13: 9783030913892
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 231.23
Convert currencyUS$ 26.81 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs' theoretical developments and their applications. 372 pp. Englisch.
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Generative Adversarial Learning: Architectures and Applications
Published by Springer International Publishing, Springer Nature Switzerland Feb 2022, 2022
ISBN 10: 3030913899 ISBN 13: 9783030913892
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 231.23
Convert currencyUS$ 69.94 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs¿ theoretical developments and their applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch.
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