Hardware architectures deep learning (16 résultats)

Langue : anglais
Edité par The Institution of Engineering and Technology, 2020
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Etat : New.

Langue : anglais
Edité par Institution of Engineering and Technology, GB, 2020
- Couverture rigide
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Hardback. Etat : 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 a…pplications 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.

Langue : anglais
Edité par The Institution of Engineering and Technology, 2020
- Couverture rigide
Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books
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Etat : New.

Langue : anglais
Edité par The Institution of Engineering and Technology, 2020
- Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-UnisGreatBookPrices
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Etat : As New. Unread book in perfect condition.

Langue : anglais
Edité par The Institution of Engineering and Technology, 2020
- Couverture rigide
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Etat : New.

Langue : anglais
Edité par The Institution of Engineering and Technology, 2020
- Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-UniGreatBookPricesUK
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Etat : As New. Unread book in perfect condition.

Langue : anglais
Edité par The Institution of Engineering and Technology, 2020
- Couverture rigide
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Etat : New. In English.

Langue : anglais
Edité par Institution of Engineering and Technology, GB, 2020
- Couverture rigide
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-UnisRarewaves USA United
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Hardback. Etat : 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 a…pplications 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.

Langue : anglais
Edité par Institution of Engineering and Technology, GB, 2020
- Couverture rigide
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-UniRarewaves.com USA
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Hardback. Etat : 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 a…pplications 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.

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Hardcover. Etat : Brand New. 300 pages. 9.21x6.14x0.75 inches. In Stock.

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Vendeur : moluna, Greven, Allemagnemoluna
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Etat : 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.

Langue : anglais
Edité par Institution of Engineering and Technology, GB, 2020
- Couverture rigide
Vendeur : Rarewaves.com UK, London, Royaume-UniRarewaves.com UK
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Hardback. Etat : 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 a…pplications 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.

Langue : anglais
Edité par Institution Of Engineering & Technology Apr 2020, 2020
- Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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Buch. Etat : Neu. Neuware - 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.

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HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Hardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.