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Paper Abstract and Keywords
Presentation 2018-12-13 14:40
Extracting rules from convolutional neural networks
Hiroshi Tsukimoto, Yuya Sato (Tokyo Denki Univ.) PRMU2018-79
Abstract (in Japanese) (See Japanese page) 
(in English) To understand the inner structures of convolutional neural networks, several techniques of visualization have been developed. However, few techniques have been developed to extract features from convolutional neural networks. This paper presents a method of extracting features from convolutional neural networks by extracting rules from fully connected layers. The rule extraction method developed by one of the authors was adopted. The inputs of the rules are the outputs of convolutional layers. To understand the rules, the images maximizing the outputs of convolutional layers are needed, which are calculated by Smoothgrad. The method was applied to MNIST data.
Keyword (in Japanese) (See Japanese page) 
(in English) convolutional neural networks / feature extraction / rule extraction / Approximation method / SmoothGrad / MNIST / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 362, PRMU2018-79, pp. 23-28, Dec. 2018.
Paper # PRMU2018-79 
Date of Issue 2018-12-06 (PRMU) 
ISSN 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 PRMU2018-79

Conference Information
Committee PRMU  
Conference Date 2018-12-13 - 2018-12-14 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2018-12-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extracting rules from convolutional neural networks 
Sub Title (in English)  
Keyword(1) convolutional neural networks  
Keyword(2) feature extraction  
Keyword(3) rule extraction  
Keyword(4) Approximation method  
Keyword(5) SmoothGrad  
Keyword(6) MNIST  
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Keyword(8)  
1st Author's Name Hiroshi Tsukimoto  
1st Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
2nd Author's Name Yuya Sato  
2nd Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
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Speaker Author-1 
Date Time 2018-12-13 14:40:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2018-79 
Volume (vol) vol.118 
Number (no) no.362 
Page pp.23-28 
#Pages 6 
Date of Issue 2018-12-06 (PRMU) 

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