Paper Abstract and Keywords |
Presentation |
2017-05-26 13:50
A Parallel Forward-Backward Propagation Learning Rule for Auto-Encoder Yoshihiro Ohama, Takayoshi Yoshimura (Toyota CRDL) NC2017-3 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Auto-encoder is known as a hourglass neural network for acquiring essential representations from multi-dimensional data set. Learning identity mapping by the back-propagation rule, the representations will be acquired in general. In order to reduce iterations for updating neural weights, many automated parameter adjustment method for the learning rule and neural activation functions for avoiding vanishing gradients have been proposed. In this work, we introduce that propagating errors both from input and output layer in parallel could decrease the iterations by half. Feasibility of this approach is confirmed by following two simple computer simulations. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Auto-Encoder / Representation Learning / Identity Mapping / Back-propagation Rule / Forward-propagation Rule / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 64, NC2017-3, pp. 13-18, May 2017. |
Paper # |
NC2017-3 |
Date of Issue |
2017-05-19 (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) |
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NC2017-3 |
Conference Information |
Committee |
MBE NC |
Conference Date |
2017-05-26 - 2017-05-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Toyama Prefectural Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
NC |
Conference Code |
2017-05-MBE-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Parallel Forward-Backward Propagation Learning Rule for Auto-Encoder |
Sub Title (in English) |
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Keyword(1) |
Auto-Encoder |
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Representation Learning |
Keyword(3) |
Identity Mapping |
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Back-propagation Rule |
Keyword(5) |
Forward-propagation Rule |
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1st Author's Name |
Yoshihiro Ohama |
1st Author's Affiliation |
Toyota Central Research and Development Labs., Inc. (Toyota CRDL) |
2nd Author's Name |
Takayoshi Yoshimura |
2nd Author's Affiliation |
Toyota Central Research and Development Labs., Inc. (Toyota CRDL) |
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Speaker |
Author-1 |
Date Time |
2017-05-26 13:50:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2017-3 |
Volume (vol) |
vol.117 |
Number (no) |
no.64 |
Page |
pp.13-18 |
#Pages |
6 |
Date of Issue |
2017-05-19 (NC) |
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