Proceedings of the 4th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2018)

Research on Deep Learning through Micro-video

Authors
Jun-Feng ZHANG
Corresponding Author
Jun-Feng ZHANG
Available Online January 2019.
DOI
10.2991/sschd-18.2019.44How to use a DOI?
Keywords
Deep Learning, Micro-video, Video Learning.
Abstract

In recent years, with the continuous development of education informatization, How to scientifically and reasonably use new media technology to promote students’ deep learning is extensively concerned by the educational technology researchers. This paper discusses the supporting effect of micro-video on deep learning, and constructs a deep learning model including network guidance, knowledge construction, practical application, evaluation and summary. It also elaborates on how to carry out deep learning through micro-video .The research can provide reference for the effective development of deep learning.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 4th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2019
ISBN
10.2991/sschd-18.2019.44
ISSN
2352-5398
DOI
10.2991/sschd-18.2019.44How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jun-Feng ZHANG
PY  - 2019/01
DA  - 2019/01
TI  - Research on Deep Learning through Micro-video
BT  - Proceedings of the 4th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2018)
PB  - Atlantis Press
SP  - 255
EP  - 259
SN  - 2352-5398
UR  - https://doi.org/10.2991/sschd-18.2019.44
DO  - 10.2991/sschd-18.2019.44
ID  - ZHANG2019/01
ER  -