| Paper Abstract and Keywords |
| Presentation |
2015-05-19 10:00
An Automatic Adjustment Method for Parameters in Deep Learning Kazuki Urushiyama, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2015-34 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we propose the method which tunes learning rate dynamically and breaks off learning automatically. In generally, the learning rate and learning iterations have to be adequately decided by the experiences and preliminary knowledge of designers. However it is difficult to find optimum combinations of them. By performing numerical experiments using benchmarks, the effectiveness of the proposed method is confirmed. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Deep Learning / Autoencoder / Parameter tuning / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 115, no. 34, NLP2015-34, pp. 39-43, May 2015. |
| Paper # |
NLP2015-34 |
| Date of Issue |
2015-05-11 (NLP) |
| 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 |
NLP2015-34 |
| Conference Information |
| Committee |
NLP |
| Conference Date |
2015-05-18 - 2015-05-19 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Yu-sa Asamushi |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Nonlinear Problems, etc. |
| Paper Information |
| Registration To |
NLP |
| Conference Code |
2015-05-NLP |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
An Automatic Adjustment Method for Parameters in Deep Learning |
| Sub Title (in English) |
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| Keyword(1) |
Deep Learning |
| Keyword(2) |
Autoencoder |
| Keyword(3) |
Parameter tuning |
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| 1st Author's Name |
Kazuki Urushiyama |
| 1st Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
| 2nd Author's Name |
Hidehiro Nakano |
| 2nd Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
| 3rd Author's Name |
Arata Miyauchi |
| 3rd Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2015-05-19 10:00:00 |
| Presentation Time |
25 minutes |
| Registration for |
NLP |
| Paper # |
NLP2015-34 |
| Volume (vol) |
vol.115 |
| Number (no) |
no.34 |
| Page |
pp.39-43 |
| #Pages |
5 |
| Date of Issue |
2015-05-11 (NLP) |