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Towards Ensuring Software Interoperability Between Deep Learning Frameworks Cover

Towards Ensuring Software Interoperability Between Deep Learning Frameworks

Journal of Artificial Intelligence and Soft Computing Research
Volume 13 (2023): Issue 4 (October 2023)
By: Youn Kyu Lee,  Seong Hee Park,  Min Young Lim,  Soo-Hyun Lee and  Jongwook Jeong  
Open Access
|Oct 2023

Authors

Youn Kyu Lee

Department of Computer Engineering, Hongik University, Republic of Korea

Seong Hee Park

Department of Computer Engineering, Hongik University, Republic of Korea

Min Young Lim

Department of Computer Engineering, Hongik University, Republic of Korea

Soo-Hyun Lee

Department of Computer Engineering, Hongik University, Republic of Korea

Jongwook Jeong

jwjeong55@jbnu.ac.kr

Department of Computer Science and Artificial Intelligence, Jeonbuk National University, Republic of Korea
DOI: https://doi.org/10.2478/jaiscr-2023-0016
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Language: English
Page range: 215 - 228
Submitted on: Jun 26, 2023
Accepted on: Sep 11, 2023
Published on: Oct 30, 2023
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
deep learning,
interoperability,
validation&verification,
deep learning frameworks,
model conversion
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2023 Youn Kyu Lee, Seong Hee Park, Min Young Lim, Soo-Hyun Lee, Jongwook Jeong, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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