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عنوان
Compact and fast machine learning accelerator for IoT devices /

پدید آورنده
Hantao Huang and Hao Yu.

موضوع
Internet of things.,Machine learning.,COMPUTERS-- General.,Internet of things.,Machine learning.

رده
Q325
.
5
.
H83
2019

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9789811333231
(Number (ISBN
9789811333248
(Number (ISBN
9811333238
(Number (ISBN
9811333246
Erroneous ISBN
9789811333224
Erroneous ISBN
981133322X

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Compact and fast machine learning accelerator for IoT devices /
General Material Designation
[Book]
First Statement of Responsibility
Hantao Huang and Hao Yu.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2019.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource

SERIES

Series Title
Computer architecture and design methodologies

CONTENTS NOTE

Text of Note
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.
0

SUMMARY OR ABSTRACT

Text of Note
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.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9789811333231

OTHER EDITION IN ANOTHER MEDIUM

Title
Compact and fast machine learning accelerator for IoT devices.
International Standard Book Number
9789811333224

TOPICAL NAME USED AS SUBJECT

Internet of things.
Machine learning.
COMPUTERS-- General.
Internet of things.
Machine learning.

(SUBJECT CATEGORY (Provisional

COM-- 000000
UYQ
UYQ

DEWEY DECIMAL CLASSIFICATION

Number
006
.
31
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
Q325
.
5
Book number
.
H83
2019

PERSONAL NAME - PRIMARY RESPONSIBILITY

Huang, Hantao

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Yu, Hao, (Electrical engineer)

ORIGINATING SOURCE

Date of Transaction
20200823234516.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

Proposal/Bug Report

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