Course Design of Deep Learning Architecture

Kuo-Kun Tseng

Proceedings of the 2nd International Conference on Internet Technology and Educational Informatization, ITEI 2022, December 23-25, 2022, Harbin, China

Research Article

Course Design of Deep Learning Architecture

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.23-12-2022.2329194,
    author={Kuo-Kun  Tseng},
    title={Course Design of Deep Learning Architecture},
    proceedings={Proceedings of the 2nd International Conference on Internet Technology and Educational Informatization, ITEI 2022, December 23-25, 2022, Harbin, China},
    publisher={EAI},
    proceedings_a={ITEI},
    year={2023},
    month={6},
    keywords={deep learning architecture; tensor processor; fpga sopc},
    doi={10.4108/eai.23-12-2022.2329194}
}

Kuo-Kun Tseng
Year: 2023
Course Design of Deep Learning Architecture
ITEI
EAI
DOI: 10.4108/eai.23-12-2022.2329194

Kuo-Kun Tseng¹^,*

1: Harbin Institute of Technology

*Contact email: kktseng@hit.edu.cn

Abstract

Deep learning brings good prospects for the development of AI, but the complexity and slow operation of deep learning algorithms hinder the development and application of deep learning in AI. So we designed a deep learning architecture course to train people in this area. In addition to imparting relevant theoretical knowledge, this course will also arrange related deep learning architecture design experiments to train talents with deep learning algorithm core knowledge and architecture design ability for future research and development.

Keywords: deep learning architecture; tensor processor; fpga sopc

Published: 2023-06-14
Publisher: EAI

: http://dx.doi.org/10.4108/eai.23-12-2022.2329194