Proceedings of the 2nd International Conference on Literature, Art and Human Development (ICLAHD 2020)

Understanding Deep Learning by Methodology in the Dialectics of Nature

Authors
Zirui Cao, Yanghao Li
Corresponding Author
Zirui Cao
Available Online 17 December 2020.
DOI
https://doi.org/10.2991/assehr.k.201215.385How to use a DOI?
Keywords
AI, Deep Learning, Methodology
Abstract

In this paper, deep learning is discussed which is considered a branch in the modern AI subject with fastest development. First of all, the history of the deep learning is reviewed and then the nature of the black-box in the deep learning is pointed out. With the nature of the black-box (a device, system or object which can be viewed in terms of its inputs and outputs, without any knowledge of its internal workings) in the deep learning at center, from the view of the methodology in the dialectics of nature, two aspects, repetitiveness and interpretability, are analyzed in the paper. In the modern deep learning theory system, repetitiveness and interpretability are most needed to be explored and complemented. On this basis, the insufficiency of the spirit of seeking truth from facts is discussed across the whole practical process from subject selection to application in the deep learning. Finally, based on the above discussions, it can be concluded that though facing many shortcomings with regard to methodology, the above mentioned obstacles can be removed with help of the deep learning, thus contributing greatly to the development of the AI which is always the constant objective of human by unremitting efforts over time.

Copyright
© 2020, 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 2nd International Conference on Literature, Art and Human Development (ICLAHD 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
17 December 2020
ISBN
978-94-6239-304-2
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.201215.385How to use a DOI?
Copyright
© 2020, 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  - Zirui Cao
AU  - Yanghao Li
PY  - 2020
DA  - 2020/12/17
TI  - Understanding Deep Learning by Methodology in the Dialectics of Nature
BT  - Proceedings of the 2nd International Conference on Literature, Art and Human Development (ICLAHD 2020)
PB  - Atlantis Press
SP  - 22
EP  - 26
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201215.385
DO  - https://doi.org/10.2991/assehr.k.201215.385
ID  - Cao2020
ER  -