Presentation 2018-03-14
Gradually Stacking Neural Network
Shunya Sasaki, Masafumi Hagiwara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a neural network with multiple layers in a stepwise manner. Neural networks (NNs) become more multilayered, it is possible to extract detailed features, but the vanishing gradient problem tends to occur. In order to solve this problem, we propose a method for multilayered NN in stages by using supervised learning. Redundant multilayering is avoided by automatically determining the ?nal number of layers. In this method, by repeating the addition of layers and the deletion of one, NN is multilayered in stages and this process is repeated until learning converges. As a result of evaluation experiment with classi?cation task, it was con?rmed that the optimum number of layers can be automatically determined with reducing gradient vanishing.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) backpropagation / greedy algorithm
Paper # NC2017-97
Date of Issue 2018-03-06 (NC)

Conference Information
Committee MBE / NC
Conference Date 2018/3/13(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kikai-Shinko-Kaikan Bldg.
Topics (in Japanese) (See Japanese page)
Topics (in English) ME, general
Chair Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.)
Vice Chair Masaki Kyoso(TCU) / Yutaka Hirata(Chubu Univ.)
Secretary Masaki Kyoso(Toyama Pref. Univ.) / Yutaka Hirata(Kindai Univ.)
Assistant Kim Juhyon(Univ. of Toyama) / Takumi Kobayashi(YNU) / Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.)

Paper Information
Registration To Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Gradually Stacking Neural Network
Sub Title (in English)
Keyword(1) backpropagation
Keyword(2) greedy algorithm
1st Author's Name Shunya Sasaki
1st Author's Affiliation Keio Univercity(Keio Univ)
2nd Author's Name Masafumi Hagiwara
2nd Author's Affiliation Keio Univercity(Keio Univ)
Date 2018-03-14
Paper # NC2017-97
Volume (vol) vol.117
Number (no) NC-508
Page pp.pp.175-180(NC),
#Pages 6
Date of Issue 2018-03-06 (NC)