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: 9783031406768
Price: 206.3 EUR
Availability: InStock

Use Cases and Emerging Challenges

Автор: Sudeep Pasricha, Muhammad Shafique

Език:

Корици: С твърди корици

Издател: Springer, Berlin

Наличност: Външен склад

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

Информация за книгата

Автор

Sudeep Pasricha, Muhammad Shafique

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2023

страници

588

EAN

9783031406768

Enbook ID

43748741

Издател

Springer, Berlin

Теглоt

992

Размери

155 x 235

Пълно описание

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

Use Cases and Emerging Challenges

Информация за книгата

Пълно описание

Може също да ви хареса

Клиенти, които купиха тази книга, купиха също