DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks

DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks

Deep learning models, particularly Convolutional Neural Networks (CNNs), play a pivotal role in intelligent software. However, like any software application, CNN-based applications are susceptible to bugs. Bug-fix patterns in CNN differ from traditional techniques, primarily due to their inherent bl...

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Bibliographic Details
Main Authors:	Mohammad Wardat, Abdullah Al-Alaj
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Series:	IEEE Access
Subjects:	Deep neural networks fault location debugging program analysis deep learning bugs convolutional neural networks
Online Access:	https://ieeexplore.ieee.org/document/10491264/

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