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Paper Abstract and Keywords
Presentation 2016-05-21 14:40
A Study on Synaptic Weight Resolution in Hardware Implementation of Deep Neural Network
Shouta Kurihara, Satoshi Moriya, Hisanao Akima, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2016-5
Abstract (in Japanese) (See Japanese page) 
(in English) Deep learning implemented on a multi-layered network is one of the machine learning methods. The reason why deep learning attracts attention is the fact that it has high performance in image and speech recognition in comparison with conventional methods. Recently the hardware implementation of deep neural network has been studied actively, and one of the main factors limit the degree of integration is the hardware cost of synaptic weight memories. Therefore,in this report we study about the relation between the bit width of synaptic weights and learning performance.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Neural Network / Hardware / Synaptic Weight / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 59, NC2016-5, pp. 23-28, May 2016.
Paper # NC2016-5 
Date of Issue 2016-05-14 (NC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NC2016-5

Conference Information
Committee MBE NC  
Conference Date 2016-05-21 - 2016-05-21 
Place (in Japanese) (See Japanese page) 
Place (in English) University of Toyama 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2016-05-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Synaptic Weight Resolution in Hardware Implementation of Deep Neural Network 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Neural Network  
Keyword(3) Hardware  
Keyword(4) Synaptic Weight  
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1st Author's Name Shouta Kurihara  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Satoshi Moriya  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Hisanao Akima  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
4th Author's Name Masao Sakuraba  
4th Author's Affiliation Tohoku University (Tohoku Univ.)
5th Author's Name Shigeo Sato  
5th Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2016-05-21 14:40:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2016-5 
Volume (vol) vol.116 
Number (no) no.59 
Page pp.23-28 
#Pages 6 
Date of Issue 2016-05-14 (NC) 

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