Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book systematically narrates the fundamentals, methods, and recent advances of evolutionary deep neural architecture search chapter by chapter. This will provide the target readers with sufficient details learning from scratch. In particular, the method parts are devoted to the architecture search of unsupervised and supervised deep neural networks. The people, who would like to use deep neural networks but have no/limited expertise in manually designing the optimal deep architectures, will be the main audience. This may include the researchers who focus on developing novel evolutionary deep architecture search methods for general tasks, the students who would like to study the knowledge related to evolutionary deep neural architecture search and perform related research in the future, and the practitioners from the fields of computer vision, natural language processing, and others where the deep neural networks have been successfully and largely used in their respective fields. 348 pp. Englisch. Codice articolo 9783031168703

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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances

Yanan Sun|Gary G. Yen|Mengjie Zhang

Editore: Springer International Publishing, 2023

ISBN 10: 3031168704 ISBN 13: 9783031168703

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces the fundamentals and up-to-date methods of evolutionary deep neural architecture searchProvides the target readers with sufficient details learning from scratchInspires the students to develop more effective and efficient EDNAS m. Codice articolo 1171874878

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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances

Yanan Sun

Editore: Springer International Publishing, Springer Nature Switzerland, 2023

ISBN 10: 3031168704 ISBN 13: 9783031168703

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Da: AHA-BUCH GmbH, Einbeck, Germania

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book systematically narrates the fundamentals, methods, and recent advances of evolutionary deep neural architecture search chapter by chapter. This will provide the target readers with sufficient details learning from scratch. In particular, the method parts are devoted to the architecture search of unsupervised and supervised deep neural networks. The people, who would like to use deep neural networks but have no/limited expertise in manually designing the optimal deep architectures, will be the main audience. This may include the researchers who focus on developing novel evolutionary deep architecture search methods for general tasks, the students who would like to study the knowledge related to evolutionary deep neural architecture search and perform related research in the future, and the practitioners from the fields of computer vision, natural language processing, and others where the deep neural networks have been successfully and largely used in their respective fields. Codice articolo 9783031168703

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Evolutionary Deep Neural Architecture Search: Fund

Sun, Yanan; Yen, Gary G.; Zhang, Mengjie

Editore: Springer, 2023

ISBN 10: 3031168704 ISBN 13: 9783031168703

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Da: Books Puddle, New York, NY, U.S.A.

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Condizione: New. pp. 348. Codice articolo 26398551688

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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances (Paperback)

Yanan Sun

Editore: Springer International Publishing AG, Cham, 2023

ISBN 10: 3031168704 ISBN 13: 9783031168703

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Da: CitiRetail, Stevenage, Regno Unito

Valutazione del venditore 5 su 5 stelle

Paperback. Condizione: new. Paperback. This book systematically narrates the fundamentals, methods, and recent advances of evolutionary deep neural architecture search chapter by chapter. This will provide the target readers with sufficient details learning from scratch. In particular, the method parts are devoted to the architecture search of unsupervised and supervised deep neural networks. The people, who would like to use deep neural networks but have no/limited expertise in manually designing the optimal deep architectures, will be the main audience. This may include the researchers who focus on developing novel evolutionary deep architecture search methods for general tasks, the students who would like to study the knowledge related to evolutionary deep neural architecture search and perform related research in the future, and the practitioners from the fields of computer vision, natural language processing, and others where the deep neural networks have been successfully and largely used in their respective fields. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9783031168703

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