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| Presentation | 2019-03-06 10:30 Wider neural networks with ReLU activation generalize better Yasutaka Furusho, Kazushi Ikeda (NAIST)  IBISML2018-111 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Model size determination is important in machine learning since a larger model leads to overfitting, that is, a small training loss and a high test loss. Surprisingly, a multi-layer perceptron (MLP) with the ReLU activation function has a smaller training loss as well as a smaller gap between the training loss and a test loss as each layer gets wide. To elucidate the mechanism, this paper theoretically derives an upper-bound of the gap for a random network and shows a wider MLP has a smaller gap. Our numerical experiments confirmed the validity of our analysis and the applicability to the trained model. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Neural networks / model size / over-fitting / generalization ability / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 472, IBISML2018-111, pp. 45-50, March 2019. | |
| Paper # | IBISML2018-111 | |
| Date of Issue | 2019-02-26 (IBISML) | |
| 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 | IBISML2018-111 |
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| Conference Information | |
| Committee | IBISML |
| Conference Date | 2019-03-05 - 2019-03-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | RIKEN AIP |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine learning, etc. |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2019-03-IBISML |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Wider neural networks with ReLU activation generalize better |
| Sub Title (in English) | |
| Keyword(1) | Neural networks |
| Keyword(2) | model size |
| Keyword(3) | over-fitting |
| Keyword(4) | generalization ability |
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| 1st Author's Name | Yasutaka Furusho |
| 1st Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 2nd Author's Name | Kazushi Ikeda |
| 2nd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
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| Speaker | Author-1 |
| Date Time | 2019-03-06 10:30:00 |
| Presentation Time | 30 minutes |
| Registration for | IBISML |
| Paper # | IBISML2018-111 |
| Volume (vol) | vol.118 |
| Number (no) | no.472 |
| Page | pp.45-50 |
| #Pages | 6 |
| Date of Issue | 2019-02-26 (IBISML) |
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