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| Presentation | 2020-03-17 09:45 Rule Extraction from convolutional neural networks -- Rule Extraction with A Pedagogical Method -- Yuya Sato (Tokyo Denki Univ), Hiroshi Tsukimoto (Tokyo Denki Univ.)  PRMU2019-89 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We presented a decompositional method of rule extraction from convolutional neural networks in the past. However, we found that the accuracy was extremely low in the case of fully connected layers with hidden layers. This paper presents a pedagogical extracting method. Also, this paper presents a method merging rules and images maximizing the output of convolutional/pooling layers, and visualizing features of the rules extracted from fully connected layers. These methods were applied to convolutional neural networks trained with MNIST dataset. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | convolutional neural network / feature extraction / rule extraction / SmoothGrad / MNIST / pedagogical method / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 481, PRMU2019-89, pp. 121-126, March 2020. | |
| Paper # | PRMU2019-89 | |
| Date of Issue | 2020-03-09 (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 | PRMU2019-89 |
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| Conference Information | |
| Committee | PRMU IPSJ-CVIM |
| Conference Date | 2020-03-16 - 2020-03-17 |
| 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 | 2020-03-PRMU-CVIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Rule Extraction from convolutional neural networks |
| Sub Title (in English) | Rule Extraction with A Pedagogical Method |
| Keyword(1) | convolutional neural network |
| Keyword(2) | feature extraction |
| Keyword(3) | rule extraction |
| Keyword(4) | SmoothGrad |
| Keyword(5) | MNIST |
| Keyword(6) | pedagogical method |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yuya Sato |
| 1st Author's Affiliation | Tokyo Denki University (Tokyo Denki Univ) |
| 2nd Author's Name | Hiroshi Tsukimoto |
| 2nd Author's Affiliation | Tokyo Denki University (Tokyo Denki Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-03-17 09:45:00 |
| Presentation Time | 15 minutes |
| Registration for | PRMU |
| Paper # | PRMU2019-89 |
| Volume (vol) | vol.119 |
| Number (no) | no.481 |
| Page | pp.121-126 |
| #Pages | 6 |
| Date of Issue | 2020-03-09 (PRMU) |
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