Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 me. N� de ref. del art�culo: 690281463

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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances (Studies in Computational Intelligence, 1070)

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

Publicado por Springer, 2022

ISBN 10: 3031168674 ISBN 13: 9783031168673

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Librería: Ria Christie Collections, Uxbridge, Reino Unido

Calificaci�n del vendedor: 5 de 5 estrellas

Condici�n: New. In. N� de ref. del art�culo: ria9783031168673_new

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

Yanan Sun

Publicado por Springer International Publishing, Springer International Publishing Nov 2022, 2022

ISBN 10: 3031168674 ISBN 13: 9783031168673

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Buch. Condici�n: 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. N� de ref. del art�culo: 9783031168673

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

Yanan Sun

Publicado por Springer International Publishing, Springer Nature Switzerland, 2022

ISBN 10: 3031168674 ISBN 13: 9783031168673

Nuevo Tapa dura

Librería: AHA-BUCH GmbH, Einbeck, Alemania

Calificaci�n del vendedor: 5 de 5 estrellas

Buch. Condici�n: 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. N� de ref. del art�culo: 9783031168673

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