Paper Abstract and Keywords |
Presentation |
2017-11-07 14:55
DCNN Training with Short Bit Length Format Considering Loss of Trailing Digits Shin-ichi O'uchi, Hiroshi Fuketa, Ryousei Takano (AIST) CPSY2017-41 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Loss of trailing digits in training deep convolutional neural network (DCNN) is considered to implement training with a format shorter than 16-bit floating format. As a result, we propose an 8-bit training method. The method improves inference accuracy compared to 16-bit floating format in training AlexNet. Simultaneously, the hardware size is reduced by half compared to the 16-bit hardware. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Deep convolutional neural network (DCNN) / AlexNet / training / floating point arithmetic / accuracy / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 278, CPSY2017-41, pp. 7-12, Nov. 2017. |
Paper # |
CPSY2017-41 |
Date of Issue |
2017-10-31 (CPSY) |
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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CPSY2017-41 |
Conference Information |
Committee |
VLD DC CPSY RECONF CPM ICD IE IPSJ-SLDM |
Conference Date |
2017-11-06 - 2017-11-08 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kumamoto-Kenminkouryukan Parea |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Design Gaia 2017 -New Field of VLSI Design- |
Paper Information |
Registration To |
CPSY |
Conference Code |
2017-11-VLD-DC-CPSY-RECONF-CPM-ICD-IE-SLDM-EMB-ARC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
DCNN Training with Short Bit Length Format Considering Loss of Trailing Digits |
Sub Title (in English) |
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Keyword(1) |
Deep convolutional neural network (DCNN) |
Keyword(2) |
AlexNet |
Keyword(3) |
training |
Keyword(4) |
floating point arithmetic |
Keyword(5) |
accuracy |
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1st Author's Name |
Shin-ichi O'uchi |
1st Author's Affiliation |
National Institute of AIST (AIST) |
2nd Author's Name |
Hiroshi Fuketa |
2nd Author's Affiliation |
National Institute of AIST (AIST) |
3rd Author's Name |
Ryousei Takano |
3rd Author's Affiliation |
National Institute of AIST (AIST) |
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Speaker |
Author-1 |
Date Time |
2017-11-07 14:55:00 |
Presentation Time |
25 minutes |
Registration for |
CPSY |
Paper # |
CPSY2017-41 |
Volume (vol) |
vol.117 |
Number (no) |
no.278 |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2017-10-31 (CPSY) |