Compact and Fast Machine Learning Accelerator for IoT Devices

Author:   Hantao Huang ,  Hao Yu
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2019
ISBN:  

9789811333224


Pages:   149
Publication Date:   18 December 2018
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Compact and Fast Machine Learning Accelerator for IoT Devices


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Overview

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.

Full Product Details

Author:   Hantao Huang ,  Hao Yu
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2019
Weight:   0.454kg
ISBN:  

9789811333224


ISBN 10:   981133322
Pages:   149
Publication Date:   18 December 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Computing on Edge Devices in Internet-of-things (IoT).- The Rise of Machine Learning in IoT system.- Least-squares-solver for Shadow Neural Network.- Tensor-solver for Deep Neural Network.- Distributed-solver for Networked Neural Network.- Conclusion.

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