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Sun Yanan (44 results)
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Optimization of Integrated Supply Chain Planning under Multiple Uncertainty
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Optimization of Integrated Supply Chain Planning under Multiple Uncertainty
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 66.10
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Condition: New. pp. 205.
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Condition: New. pp. 188.
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US$ 92.12
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Add to basketHardcover. Condition: Brand New. 2015 edition. 200 pages. 9.50x6.25x0.50 inches. In Stock.
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US$ 89.86
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Add to basketPaperback. Condition: Brand New. reprint edition. 205 pages. 9.25x6.10x0.47 inches. In Stock.
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US$ 134.28
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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances (Studies in Computational Intelligence)
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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances (Studies in Computational Intelligence, 1070)
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Taschenbuch. Condition: Neu. Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances | Yanan Sun (u. a.) | Taschenbuch | xvi | Englisch | 2023 | Springer | EAN 9783031168703 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Add to basketPaperback. Condition: Brand New. 347 pages. 9.25x6.10x0.79 inches. In Stock.
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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances
Language: English
Published by Springer International Publishing, Springer Nature Switzerland, 2023
ISBN 10: 3031168704 ISBN 13: 9783031168703
Taschenbuch. Condition: 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.
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Condition: As New. Unread book in perfect condition.
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Hydroides of the World
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US$ 257.34
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Evolutionary Deep Neural Architecture Se
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Hydroides of the World
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US$ 285.97
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Add to basketPaperback. Condition: Brand New. 288 pages. 11.00x8.25x0.63 inches. In Stock.
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Add to basketCondition: New. Elena Kupriyanova is a Senior Research Scientist at The Australian Museum, whose research interests are centred on taxonomy, biodiversity, systematics, phylogeny, life history, reproduction, and evolution of marine invertebrates, especially of the polych.
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Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances
Language: English
Published by Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3031168674 ISBN 13: 9783031168673
Buch. Condition: 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.
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Condition: New.
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US$ 321.09
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Add to basketHardcover. Condition: Brand New. 347 pages. 9.25x6.10x0.81 inches. In Stock.
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Condition: New.
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Condition: New. Print on Demand pp. 205.
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Condition: New. Print on Demand pp. 188.
