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/

Internet

https://ieeexplore.ieee.org/document/10491264/

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