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Deep Learning: Algorithms and Applications: 865 (Studies in Computational Intelligence, 865) - Hardcover
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This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm’s algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.
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This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm’s algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.
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- PublisherSpringer
- Publication date2019
- ISBN 10 3030317595
- ISBN 13 9783030317591
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages372
- EditorPedrycz Witold, Chen Shyi-Ming
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Deep Learning: Algorithms and Applications
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Springer International Publishing, 2019
ISBN 10: 3030317595
ISBN 13: 9783030317591
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Condition: 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. Seller Inventory # 332921078
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Deep Learning: Algorithms and Applications
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ISBN 10: 3030317595
ISBN 13: 9783030317591
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm's algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning. 372 pp. Englisch. Seller Inventory # 9783030317591
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Deep Learning: Algorithms and Applications
Published by
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ISBN 10: 3030317595
ISBN 13: 9783030317591
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm's algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning. Seller Inventory # 9783030317591
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