Language: English
Published by The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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Language: English
Published by Institution of Engineering and Technology, GB, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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Hardback. Condition: 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.
Language: English
Published by The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Seller: California Books, Miami, FL, U.S.A.
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Language: English
Published by The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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Language: English
Published by The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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Language: English
Published by The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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Language: English
Published by Institution of Engineering and Technology, GB, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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Add to basketHardback. Condition: 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.
Language: English
Published by Institution of Engineering and Technology, GB, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condition: 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.
Language: English
Published by Inst of Engineering & Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 300 pages. 9.21x6.14x0.75 inches. In Stock.
Language: English
Published by INSTITUTION OF ENGINEERING & T, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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Condition: 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.
Language: English
Published by Institution of Engineering and Technology, GB, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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Add to basketHardback. Condition: 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.
Language: English
Published by Institution Of Engineering & Technology Apr 2020, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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Buch. Condition: 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.
Language: English
Published by Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Published by Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Language: English
Published by Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.