Deep Learning: Concepts and Architectures (Studies in Computational Intelligence)

ISBN 10: 3030317587 ISBN 13: 9783030317584

Editorial: Springer, 2020

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In. N� de ref. del art�culo ria9783030317584_new

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Sinopsis:

This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mechanisms of structural knowledge representation. It discusses a number of multilayer architectures giving rise to tangible and functionally meaningful pieces of knowledge, and shows how the structural developments have become essential to the successful delivery of competitive practical solutions to real-world problems. The book also demonstrates how the architectural developments, which arise in the setting of deep learning, support detailed learning and refinements to the system design. Featuring detailed descriptions of the current trends in the design and analysis of deep learning topologies, the book offers practical guidelines and presents competitive solutions to various areas of language modeling, graph representation, and forecasting.

De la contraportada: This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mechanisms of structural knowledge representation. It discusses a number of multilayer architectures giving rise to tangible and functionally meaningful pieces of knowledge, and shows how the structural developments have become essential to the successful delivery of competitive practical solutions to real-world problems. The book also demonstrates how the architectural developments, which arise in the setting of deep learning, support detailed learning and refinements to the system design. Featuring detailed descriptions of the current trends in the design and analysis of deep learning topologies, the book offers practical guidelines and presents competitive solutions to various areas of language modeling, graph representation, and forecasting.

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Detalles bibliogr�ficos

T�tulo: Deep Learning: Concepts and Architectures (...
Editorial: Springer
A�o de publicaci�n: 2020
Encuadernaci�n: Encuadernaci�n de tapa blanda
Condici�n: New

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Deep Learning: Concepts and Architectures

Pedrycz, Witold|Chen, Shyi-Ming

Publicado por Springer International Publishing, 2020

ISBN 10: 3030317587 ISBN 13: 9783030317584

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Kartoniert / Broschiert. Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive and up-to-date overview of deep learning by discussing a range of methodological and algorithmic issuesAddresses implementations and case studies, identifying the best design practices and assessing business models and met. N� de ref. del art�culo: 448678821

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Deep Learning: Concepts and Architectures

Witold Pedrycz (u. a.)

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ISBN 10: 3030317587 ISBN 13: 9783030317584

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Deep Learning: Concepts and Architectures (Studies in Computational Intelligence)

Publicado por Springer, 2020

ISBN 10: 3030317587 ISBN 13: 9783030317584

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Deep Learning: Concepts and Architectures

Shyi-Ming Chen

Publicado por Springer International Publishing Nov 2020, 2020

ISBN 10: 3030317587 ISBN 13: 9783030317584

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mechanisms of structural knowledge representation. It discusses a number of multilayer architectures giving rise to tangible and functionally meaningful pieces of knowledge, and shows how the structural developments have become essential to the successful delivery of competitive practical solutions to real-world problems. The book also demonstrates how the architectural developments, which arise in the setting of deep learning, support detailed learning and refinements to the system design. Featuring detailed descriptions of the current trends in the design and analysis of deep learning topologies, the book offers practical guidelines and presents competitive solutions to various areas of language modeling, graph representation, and forecasting. 356 pp. Englisch. N� de ref. del art�culo: 9783030317584

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Deep Learning: Concepts and Architectures

Shyi-Ming Chen

Publicado por Springer International Publishing, 2020

ISBN 10: 3030317587 ISBN 13: 9783030317584

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mechanisms of structural knowledge representation. It discusses a number of multilayer architectures giving rise to tangible and functionally meaningful pieces of knowledge, and shows how the structural developments have become essential to the successful delivery of competitive practical solutions to real-world problems. The book also demonstrates how the architectural developments, which arise in the setting of deep learning, support detailed learning and refinements to the system design. Featuring detailed descriptions of the current trends in the design and analysis of deep learning topologies, the book offers practical guidelines and presents competitive solutions to various areas of language modeling, graph representation, and forecasting. N� de ref. del art�culo: 9783030317584

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Deep Learning: Concepts and Architectures

Shyi-Ming Chen

Publicado por Springer International Publishing, Springer International Publishing Nov 2020, 2020

ISBN 10: 3030317587 ISBN 13: 9783030317584

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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania

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Taschenbuch. Condici�n: Neu. Neuware -This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mechanisms of structural knowledge representation. It discusses a number of multilayer architectures giving rise to tangible and functionally meaningful pieces of knowledge, and shows how the structural developments have become essential to the successful delivery of competitive practical solutions to real-world problems. The book also demonstrates how the architectural developments, which arise in the setting of deep learning, support detailed learning and refinements to the system design. Featuring detailed descriptions of the current trends in the design and analysis of deep learning topologies, the book offers practical guidelines and presents competitive solutions to various areas of language modeling, graph representation, and forecasting.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 356 pp. Englisch. N� de ref. del art�culo: 9783030317584

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