ISBN: 9783031195679 - embedded machine learning for cyber-physical, iot, and edge computing: hardware architectures (11 resultados)

Condición: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

Condición: New.

Condición: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.

Hardcover. Condición: Brand New. 426 pages. 9.25x6.10x9.21 inches. In Stock.

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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits. 428 pp. Englisch.…

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computingOffers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimizationDescribes real application.…

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.…

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 428 pp. Englisch.…

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.