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: 9783031399312
Price: 4461 CZK
Availability: InStock

Software Optimizations and Hardware/Software Codesign

Autor: Sudeep Pasricha, Muhammad Shafique

Jazyk:

Vazba: Pevná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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4 461 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 - Pevná

Vydáno

2023

Stránek

492

EAN

9783031399312

Enbook ID

43748536

Vydavatel

Springer, Berlin

Hmotnost

861

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 to demonstrate 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

Zákaznicí kteří koupili tuto knihu koupili také