Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Institution of Engineering and Technology, GB, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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Hardback. Zustand: New. This book presents and discusses innovative ideas in the design, modelling, implementation, and optimization of hardware platforms for neural networks. The rapid growth of server, desktop, and embedded applications based on deep learning has brought about a renaissance in interest in neural networks, with applications including image and speech processing, data analytics, robotics, healthcare monitoring, and IoT solutions. Efficient implementation of neural networks to support complex deep learning-based applications is a complex challenge for embedded and mobile computing platforms with limited computational/storage resources and a tight power budget. Even for cloud-scale systems it is critical to select the right hardware configuration based on the neural network complexity and system constraints in order to increase power- and performance-efficiency. Hardware Architectures for Deep Learning provides an overview of this new field, from principles to applications, for researchers, postgraduate students and engineers who work on learning-based services and hardware platforms.
Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Anbieter: California Books, Miami, FL, USA
Zustand: New.
Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Anbieter: GreatBookPrices, Columbia, MD, USA
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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EUR 131,30
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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In den WarenkorbZustand: New. In English.
Sprache: Englisch
Verlag: Institution of Engineering and Technology, GB, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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EUR 172,73
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In den WarenkorbHardback. Zustand: New. This book presents and discusses innovative ideas in the design, modelling, implementation, and optimization of hardware platforms for neural networks. The rapid growth of server, desktop, and embedded applications based on deep learning has brought about a renaissance in interest in neural networks, with applications including image and speech processing, data analytics, robotics, healthcare monitoring, and IoT solutions. Efficient implementation of neural networks to support complex deep learning-based applications is a complex challenge for embedded and mobile computing platforms with limited computational/storage resources and a tight power budget. Even for cloud-scale systems it is critical to select the right hardware configuration based on the neural network complexity and system constraints in order to increase power- and performance-efficiency. Hardware Architectures for Deep Learning provides an overview of this new field, from principles to applications, for researchers, postgraduate students and engineers who work on learning-based services and hardware platforms.
Sprache: Englisch
Verlag: Institution of Engineering and Technology, GB, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
EUR 131,45
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In den WarenkorbHardback. Zustand: New. This book presents and discusses innovative ideas in the design, modelling, implementation, and optimization of hardware platforms for neural networks. The rapid growth of server, desktop, and embedded applications based on deep learning has brought about a renaissance in interest in neural networks, with applications including image and speech processing, data analytics, robotics, healthcare monitoring, and IoT solutions. Efficient implementation of neural networks to support complex deep learning-based applications is a complex challenge for embedded and mobile computing platforms with limited computational/storage resources and a tight power budget. Even for cloud-scale systems it is critical to select the right hardware configuration based on the neural network complexity and system constraints in order to increase power- and performance-efficiency. Hardware Architectures for Deep Learning provides an overview of this new field, from principles to applications, for researchers, postgraduate students and engineers who work on learning-based services and hardware platforms.
Sprache: Englisch
Verlag: Inst of Engineering & Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 167,42
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In den WarenkorbHardcover. Zustand: Brand New. 300 pages. 9.21x6.14x0.75 inches. In Stock.
Sprache: Englisch
Verlag: INSTITUTION OF ENGINEERING & T, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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In den WarenkorbZustand: New. Inhaltsverzeichnisrnrnn Part I: Deep learning and neural networks: concepts and modelsn Chapter 1: An introduction to artificial neural networksn Chapter 2: Hardware acceleration for recurrent neural networksn C.
Sprache: Englisch
Verlag: Institution of Engineering and Technology, GB, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 162,30
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In den WarenkorbHardback. Zustand: New. This book presents and discusses innovative ideas in the design, modelling, implementation, and optimization of hardware platforms for neural networks. The rapid growth of server, desktop, and embedded applications based on deep learning has brought about a renaissance in interest in neural networks, with applications including image and speech processing, data analytics, robotics, healthcare monitoring, and IoT solutions. Efficient implementation of neural networks to support complex deep learning-based applications is a complex challenge for embedded and mobile computing platforms with limited computational/storage resources and a tight power budget. Even for cloud-scale systems it is critical to select the right hardware configuration based on the neural network complexity and system constraints in order to increase power- and performance-efficiency. Hardware Architectures for Deep Learning provides an overview of this new field, from principles to applications, for researchers, postgraduate students and engineers who work on learning-based services and hardware platforms.
Sprache: Englisch
Verlag: Institution Of Engineering & Technology Apr 2020, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - This book discusses innovative ideas in the design, modelling, implementation, and optimization of hardware platforms for neural networks. The book provides an overview of this emerging field, from principles to applications, for researchers, postgraduate students and engineers who work on learning-based services and hardware platforms.
Sprache: Englisch
Verlag: Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Anbieter: PBShop.store US, Wood Dale, IL, USA
HRD. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Sprache: Englisch
Verlag: Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 146,27
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In den WarenkorbHRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Sprache: Englisch
Verlag: Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
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In den WarenkorbHardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.