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Cover: 9783030317553 | Deep Learning: Concepts and Architectures | Shyi-Ming Chen (u. a.)
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Deep Learning: Concepts and Architectures
Buch von Shyi-Ming Chen (u. a.)
Sprache: Englisch

158,95 €*

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Lieferzeit 1-2 Wochen

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Beschreibung
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.
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.
Zusammenfassung

Provides a comprehensive and up-to-date overview of deep learning by discussing a range of methodological and algorithmic issues

Addresses implementations and case studies, identifying the best design practices and assessing business models and methodologies encountered in industry, health care, science, administration, and business

Serves as a unique and well-structured reference resource for graduate and senior undergraduate students in areas such as computational intelligence, pattern recognition, computer vision, knowledge acquisition and representation, and knowledge-based systems

Inhaltsverzeichnis
Preface.- Chapter 1. Deep Learning Architectures.- Chapter 2. Theoretical Characterization of Deep Neural Networks.- Chapter 3. Scaling Analysis of Specialized Tensor Processing Architectures for Deep Learning Models, etc.
Details
Erscheinungsjahr: 2019
Fachbereich: Technik allgemein
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xii
342 S.
40 s/w Illustr.
95 farbige Illustr.
342 p. 135 illus.
95 illus. in color.
ISBN-13: 9783030317553
ISBN-10: 3030317552
Sprache: Englisch
Einband: Gebunden
Autor: Pedrycz, Witold
Chen, Shyi-Ming
Redaktion: Chen, Shyi-Ming
Pedrycz, Witold
Herausgeber: Witold Pedrycz/Shyi-Ming Chen
Auflage: 1st edition 2020
Hersteller: Springer International Publishing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 25 mm
Von/Mit: Shyi-Ming Chen (u. a.)
Erscheinungsdatum: 13.11.2019
Gewicht: 0,699 kg
Artikel-ID: 117276988
Zusammenfassung

Provides a comprehensive and up-to-date overview of deep learning by discussing a range of methodological and algorithmic issues

Addresses implementations and case studies, identifying the best design practices and assessing business models and methodologies encountered in industry, health care, science, administration, and business

Serves as a unique and well-structured reference resource for graduate and senior undergraduate students in areas such as computational intelligence, pattern recognition, computer vision, knowledge acquisition and representation, and knowledge-based systems

Inhaltsverzeichnis
Preface.- Chapter 1. Deep Learning Architectures.- Chapter 2. Theoretical Characterization of Deep Neural Networks.- Chapter 3. Scaling Analysis of Specialized Tensor Processing Architectures for Deep Learning Models, etc.
Details
Erscheinungsjahr: 2019
Fachbereich: Technik allgemein
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xii
342 S.
40 s/w Illustr.
95 farbige Illustr.
342 p. 135 illus.
95 illus. in color.
ISBN-13: 9783030317553
ISBN-10: 3030317552
Sprache: Englisch
Einband: Gebunden
Autor: Pedrycz, Witold
Chen, Shyi-Ming
Redaktion: Chen, Shyi-Ming
Pedrycz, Witold
Herausgeber: Witold Pedrycz/Shyi-Ming Chen
Auflage: 1st edition 2020
Hersteller: Springer International Publishing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 25 mm
Von/Mit: Shyi-Ming Chen (u. a.)
Erscheinungsdatum: 13.11.2019
Gewicht: 0,699 kg
Artikel-ID: 117276988
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