Non-Fiction Books:

Compact and Fast Machine Learning Accelerator for IoT Devices

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Description

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.
Release date Australia
December 18th, 2018
Audience
  • Professional & Vocational
Edition
1st ed. 2019
Illustrations
61 Illustrations, color; 15 Illustrations, black and white; IX, 149 p. 76 illus., 61 illus. in color.
Pages
149
ISBN-13
9789811333224
Product ID
28507341

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