Paper Abstract and Keywords |
Presentation |
2022-06-09 16:50
A Study on Accelerating Stochastic Weight Difference Propagation with Momentum Term Shahrzad Mahboubi, Hiroshi Ninomiya (Shonan Inst. of Tech.) NLP2022-9 CCS2022-9 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
With the rapid development of the IoT, there has been an increasing need to process the data on microcomputers equipped with neural networks (NN). On the other hand, the NN implemented in the microcomputer is based on the stochastic error backpropagation (SGD) method. In SGD, backpropagation of the derivative of the output layer is required for each training sample to update the weights. This is the reason that hardware and computational costs are increasing. To solve these problems, we proposed the Stochastic Weight Difference Propagation (SWDP), which uses the product of the weights and the difference of that for updating the weights. In this research, the modified algorithm of SWDP is proposed as Momentum in stochastic weighted differential propagation (MoSWDP), which introduces the momentum term to accelerate the SWDP. The proposed method is expected to suppress the increase in the number of iterations, which is one of the disadvantages of SWDP and enables faster training while maintaining training accuracy. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Neural network / gradient-based training algorithm / stochastic gradient decsent method / weight diffrence propagation / momentum term / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 65, NLP2022-9, pp. 40-45, June 2022. |
Paper # |
NLP2022-9 |
Date of Issue |
2022-06-02 (NLP, CCS) |
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) |
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NLP2022-9 CCS2022-9 |
Conference Information |
Committee |
CCS NLP |
Conference Date |
2022-06-09 - 2022-06-10 |
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(See Japanese page) |
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Paper Information |
Registration To |
NLP |
Conference Code |
2022-06-CCS-NLP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Accelerating Stochastic Weight Difference Propagation with Momentum Term |
Sub Title (in English) |
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Neural network |
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gradient-based training algorithm |
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stochastic gradient decsent method |
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weight diffrence propagation |
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momentum term |
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1st Author's Name |
Shahrzad Mahboubi |
1st Author's Affiliation |
Shonan Institute of Technology (Shonan Inst. of Tech.) |
2nd Author's Name |
Hiroshi Ninomiya |
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Shonan Institute of Technology (Shonan Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2022-06-09 16:50:00 |
Presentation Time |
25 minutes |
Registration for |
NLP |
Paper # |
NLP2022-9, CCS2022-9 |
Volume (vol) |
vol.122 |
Number (no) |
no.65(NLP), no.66(CCS) |
Page |
pp.40-45 |
#Pages |
6 |
Date of Issue |
2022-06-02 (NLP, CCS) |
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