Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances: 1070 (Studies in Computational Intelligence) - Tapa dura
Sinopsis
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.
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De la contraportada
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.
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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances
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Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3031168674
ISBN 13: 9783031168673
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Gebunden. Condición: 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. Nº de ref. del artículo: 690281463
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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances
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Springer International Publishing, Springer International Publishing Nov 2022, 2022
ISBN 10: 3031168674
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Buch. Condición: 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. Nº de ref. del artículo: 9783031168673
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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances
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Springer Nature Switzerland, 2022
ISBN 10: 3031168674
ISBN 13: 9783031168673
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Condición: Hervorragend. Zustand: Hervorragend | Seiten: 348 | Sprache: Englisch | Produktart: Bücher | 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. Nº de ref. del artículo: 40812933/1
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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances (Studies in Computational Intelligence, 1070)
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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances
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Buch. Condición: Neu. Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances | Yanan Sun (u. a.) | Buch | xvi | Englisch | 2022 | Springer | EAN 9783031168673 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 123019023
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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances: 1070
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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances
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Springer International Publishing, Springer Nature Switzerland Nov 2022, 2022
ISBN 10: 3031168674
ISBN 13: 9783031168673
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Buch. Condición: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch. Nº de ref. del artículo: 9783031168673
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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances
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Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3031168674
ISBN 13: 9783031168673
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Buch. Condición: 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. Nº de ref. del artículo: 9783031168673
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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances: 1070
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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances: 1070
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