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

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

Software Optimizations and Hardware/Software Codesign

Język: Angielski
Oprawa: Twarda
Wydawca: Springer, Berlin
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
828.01
This book presents recent advances towards the goal of enabling efficient implementation of machine...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2023
strony
492
EAN
9783031399312
Enbook ID
43748536
Waga
861
Wymiary
155 x 235

Pełny opis

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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