Compact and Fast Machine Learning Accelerator for IoT Devices

2019 ed.

by Hantao Huang , Hao Yu

Book Details

Format Hardback or Cased Book

Book Series Computer Architecture and Design Methodologies

ISBN-10 981133322X

ISBN-13 9789811333224

Edition 2019 ed.

Publisher Springer Verlag, Singapore

Imprint Springer Verlag, Singapore

Country of Manufacture SG

Country of Publication GB

Publication Date Dec 18th, 2018

Print length 149 Pages

Weight 388 grams

Dimensions 16.10 x 24.10 x 1.60 cms

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This book presents the latest techniques for machine learning based data analytics on IoT edge devices. The authors also discuss hardware architecture design with coverage focusing on both CMOS based computing systems and the new emerging Resistive Random-Access Memory (RRAM) based systems.

This book presents the latest techniques for machine learning based data analytics on IoT edge devices. A comprehensive literature review on neural network compression and machine learning accelerator is presented from both algorithm level optimization and hardware architecture optimization. Coverage focuses on shallow and deep neural network with real applications on smart buildings. The authors also discuss hardware architecture design with coverage focusing on both CMOS based computing systems and the new emerging Resistive Random-Access Memory (RRAM) based systems. Detailed case studies such as indoor positioning, energy management and intrusion detection are also presented for smart buildings.

Get Compact and Fast Machine Learning Accelerator for IoT Devices by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Verlag, Singapore and it has pages.