Presentation 2018-08-03
[Tutorial Lecture] Deep Learning Tutorial
Takayuki Nishio,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Deep learning, which is a machine learning which uses deeply stacked neural networks, has attracted much attention as a solution for many tasks. Deep learning frameworks such as Tensorflow and Chainer enable us to implement deep neural networks easily, but knowledge and techniques are required to apply deep learning for own problems. This tutorial introduces a basic idea of deep learning in particular supervised deep learning, and show some examples of deep learning application in wireless communications.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Deep Learning / Machine Learning / Supervised Learning
Paper # MoNA2018-21
Date of Issue 2018-07-26 (MoNA)

Conference Information
Committee MoNA
Conference Date 2018/8/2(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Otaru Citizen Center
Topics (in Japanese) (See Japanese page)
Topics (in English) Mobile Networks, Mobile Applications, etc. (tentative)
Chair Ryoichi Shinkuma(Kyoto Univ.)
Vice Chair Shigeaki Tagashira(Kansai Univ.) / Gen Kitagata(Tohoku Univ.)
Secretary Shigeaki Tagashira(Kyushu Univ.) / Gen Kitagata(NEC)
Assistant Ken Usui(KDDI Research) / Kenji Kanai(Waseda Univ.)

Paper Information
Registration To Technical Committee on Mobile Network and Applications
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Tutorial Lecture] Deep Learning Tutorial
Sub Title (in English)
Keyword(1) Deep Learning
Keyword(2) Machine Learning
Keyword(3) Supervised Learning
1st Author's Name Takayuki Nishio
1st Author's Affiliation Kyoto University(Kyoto Univ.)
Date 2018-08-03
Paper # MoNA2018-21
Volume (vol) vol.118
Number (no) MoNA-170
Page pp.pp.83-88(MoNA),
#Pages 6
Date of Issue 2018-07-26 (MoNA)