Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
EUR 20,00
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Añadir al carrito2006th ed. 16 x 23 cm. 266 pages. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 122,83
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Institution of Engineering and Technology, GB, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 125,17
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Añadir al carritoHardback. Condición: 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.
Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 127,19
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 125,78
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 132,24
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 132,56
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por The Institution of Engineering and Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 145,57
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Añadir al carritoCondición: New. In English.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 167,73
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Añadir al carritoCondición: New. pp. 426.
Idioma: Inglés
Publicado por Institution of Engineering and Technology, GB, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 174,65
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Añadir al carritoHardback. Condición: 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.
Idioma: Inglés
Publicado por Institution of Engineering and Technology, GB, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 132,23
Cantidad disponible: Más de 20 disponibles
Añadir al carritoHardback. Condición: 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.
EUR 163,83
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Añadir al carritoCondición: New. In.
EUR 173,30
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Añadir al carritoCondición: New. pp. 426 219 Illus. (97 Col.).
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 179,61
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Inst of Engineering & Technology, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Librería: Revaluation Books, Exeter, Reino Unido
EUR 169,17
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 300 pages. 9.21x6.14x0.75 inches. In Stock.
EUR 179,24
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Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 203,17
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por INSTITUTION OF ENGINEERING & T, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Librería: moluna, Greven, Alemania
EUR 160,43
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Añadir al carritoGebunden. Condición: 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.
EUR 140,00
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Routing Algorithms in Networks-on-Chip | Masoud Daneshtalab (u. a.) | Taschenbuch | Paperback | xiv | Englisch | 2016 | Springer US | EAN 9781493955114 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
EUR 205,36
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Springer New York, Springer US, 2016
ISBN 10: 149395511X ISBN 13: 9781493955114
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 164,49
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a single-source reference to routing algorithms for Networks-on-Chip (NoCs), as well as in-depth discussions of advanced solutions applied to current and next generation, many core NoC-based Systems-on-Chip (SoCs). After a basic introduction to the NoC design paradigm and architectures, routing algorithms for NoC architectures are presented and discussed at all abstraction levels, from the algorithmic level to actual implementation. Coverage emphasizes the role played by the routing algorithm and is organized around key problems affecting current and next generation, many-core SoCs. A selection of routing algorithms is included, specifically designed to address key issues faced by designers in the ultra-deep sub-micron (UDSM) era, including performance improvement, power, energy, and thermal issues, fault tolerance and reliability.
Idioma: Inglés
Publicado por Springer New York, Springer New York, 2013
ISBN 10: 1461482739 ISBN 13: 9781461482734
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 164,49
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a single-source reference to routing algorithms for Networks-on-Chip (NoCs), as well as in-depth discussions of advanced solutions applied to current and next generation, many core NoC-based Systems-on-Chip (SoCs). After a basic introduction to the NoC design paradigm and architectures, routing algorithms for NoC architectures are presented and discussed at all abstraction levels, from the algorithmic level to actual implementation. Coverage emphasizes the role played by the routing algorithm and is organized around key problems affecting current and next generation, many-core SoCs. A selection of routing algorithms is included, specifically designed to address key issues faced by designers in the ultra-deep sub-micron (UDSM) era, including performance improvement, power, energy, and thermal issues, fault tolerance and reliability.
Idioma: Inglés
Publicado por Institution of Engineering and Technology, GB, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Librería: Rarewaves.com UK, London, Reino Unido
EUR 165,70
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Añadir al carritoHardback. Condición: 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.
Librería: UK BOOKS STORE, London, LONDO, Reino Unido
EUR 241,53
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
EUR 236,36
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 410 pages. 9.25x6.25x1.25 inches. In Stock.
EUR 229,38
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Añadir al carritoHardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2010
ISBN 10: 3642068146 ISBN 13: 9783642068140
Librería: moluna, Greven, Alemania
EUR 205,81
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Añadir al carritoCondición: New. Heterocyclic chemistry is the biggest branch of chemistry covering two-third of the chemical literature. Research papers in heterocyclic chemistry are published in almost all the journals of chemistry and organic chemistry in addition to five journals de.
Idioma: Inglés
Publicado por Institution Of Engineering & Technology Apr 2020, 2020
ISBN 10: 1785617680 ISBN 13: 9781785617683
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 197,99
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: 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.
EUR 261,00
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. reprint edition. 424 pages. 9.25x6.10x1.00 inches. In Stock.
EUR 273,35
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.