Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Name: Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
Brand: Springer, Berlin
SKU: 9783031399343
Price: 3125 CZK
Availability: InStock

Software Optimizations and Hardware/Software Codesign

Autor: Sudeep Pasricha, Muhammad Shafique

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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3 125 Kč

This book presents recent advances towards the goal of enabling efficient implementation of machine...

Informace o knize

Autor

Sudeep Pasricha, Muhammad Shafique

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2024

Stránek

477

EAN

9783031399343

Enbook ID

46677792

Vydavatel

Springer, Berlin

Hmotnost

739

Rozměry

155 x 235

Kompletní popis

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.

Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing;
Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization;
Describes real applications todemonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.

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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

Software Optimizations and Hardware/Software Codesign

Informace o knize

Kompletní popis

Mohlo by vás zajímat

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