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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.
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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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- EditorialSpringer
- Año de publicación2019
- ISBN 10 3030317552
- ISBN 13 9783030317553
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de edición1
- Número de páginas356
- EditorPedrycz Witold, Chen Shyi-Ming
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Deep Learning: Concepts and Architectures.
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Cham, Springer., 2020
ISBN 10: 3030317552
ISBN 13: 9783030317553
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Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
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XII, 342 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence, 886. Sprache: Englisch. Nº de ref. del artículo: 36533AB
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Deep Learning: Concepts and Architectures.
Publicado por
Cham, Springer., 2020
ISBN 10: 3030317552
ISBN 13: 9783030317553
Antiguo o usado
Tapa dura
Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
Calificación del vendedor: 4 de 5 estrellas
XII, 342 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence, 886. Sprache: Englisch. Nº de ref. del artículo: 9080GB
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Deep Learning: Concepts and Architectures: 866 (Studies in Computational Intelligence, 866)
Librería: WeBuyBooks, Rossendale, LANCS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind. Nº de ref. del artículo: wbs4227370050
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Deep Learning: Concepts and Architectures
Publicado por
Springer International Publishing, 2019
ISBN 10: 3030317552
ISBN 13: 9783030317553
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Librería: moluna, Greven, Alemania
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Condición: 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. Nº de ref. del artículo: 335812355
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Deep Learning: Concepts and Architectures
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Springer International Publishing Nov 2019, 2019
ISBN 10: 3030317552
ISBN 13: 9783030317553
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Buch. Condición: 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. 356 pp. Englisch. Nº de ref. del artículo: 9783030317553
Cantidad disponible: 1 disponibles
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Deep Learning: Concepts and Architectures
Publicado por
Springer International Publishing, 2019
ISBN 10: 3030317552
ISBN 13: 9783030317553
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: 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. Nº de ref. del artículo: 9783030317553
Cantidad disponible: 1 disponibles
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Deep Learning: Concepts and Architectures (Studies in Computational Intelligence, 866)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9783030317553_new
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Deep Learning: Concepts and Architectures
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Springer International Publishing, Springer International Publishing Nov 2019, 2019
ISBN 10: 3030317552
ISBN 13: 9783030317553
Nuevo
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: 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. Nº de ref. del artículo: 9783030317553
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Deep Learning: Concepts and Architectures (Studies in Computational Intelligence, 866)
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Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020013401
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Deep Learning: Concepts And Architectures
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Condición: New. Nº de ref. del artículo: 26376460895
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