Towards understanding the faults of JavaScript-based deep learning systems

Quality assurance is of great importance for deep learning (DL) systems, especially when they are applied in safety-critical applications. While quality issues of native DL applications have been extensively analyzed, the issues of JavaScript-based DL applications have never been systematically stud...

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Bibliographic Details
Main Authors: QUAN, Lili, GUO, Qianyu, XIE, Xiaofei, CHEN, Sen, LI, Xiaohong, LIU, Yang
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/sis_research/7715
https://ink.library.smu.edu.sg/context/sis_research/article/8718/viewcontent/2209.04791.pdf
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Institution: Singapore Management University
Language: English

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