9783030913892 - generative adversarial learning: architectures and applications: 217 (intelligent systems reference library, 217) (17 resultados)
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Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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Hardcover. Condición: new. Hardcover. 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 l…earning 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Editorial: Springer 2022
Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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Generative Adversarial Learning : Architectures and Applications
Razavi-far, Roozbeh (EDT); Ruiz-garcia, Ariel (EDT); Palade, Vasile (EDT); Schmidhuber, Juergen (EDT)
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Editorial: Springer 2022
Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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Generative Adversarial Learning : Architectures and Applications
Razavi-far, Roozbeh (EDT); Ruiz-garcia, Ariel (EDT); Palade, Vasile (EDT); Schmidhuber, Juergen (EDT)
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Editorial: Springer 2022
Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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Generative Adversarial Learning : Architectures and Applications
Razavi-far, Roozbeh (EDT); Ruiz-garcia, Ariel (EDT); Palade, Vasile (EDT); Schmidhuber, Juergen (EDT)
Idioma: Inglés
Editorial: Springer 2022
Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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Generative Adversarial Learning : Architectures and Applications
Razavi-far, Roozbeh (EDT); Ruiz-garcia, Ariel (EDT); Palade, Vasile (EDT); Schmidhuber, Juergen (EDT)
Idioma: Inglés
Editorial: Springer 2022
Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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Idioma: Inglés
Editorial: Springer 2022
Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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Condición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Idioma: Inglés
Editorial: Springer International Publishing 2022
Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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Buch. Condición: 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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Editorial: Springer Nature Switzerland AG, Cham 2022
Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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Hardcover. Condición: new. Hardcover. 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 l…earning 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Editorial: Springer 2022
Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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Hardcover. Condición: Brand New. 369 pages. 9.25x6.10x1.10 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Editorial: Springer International Publishing 2022
Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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Condición: 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 applicat…ions domains.
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Editorial: Springer International Publishing Feb 2022 2022
Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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Buch. Condición: 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. Adver…sarial 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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Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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Buch. Condición: 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. Adversari…al 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 KG, Sachsenplatz 4-6, 1201 Wien 372 pp. Englisch.
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Serie: Intelligent Systems Reference Library, Libro 182 de 188. Libro 182 de 188 - Intelligent Systems Reference Library
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