Soft Error Resilience of Deep Residual Networks for Object Recognition

Soft Error Resilience of Deep Residual Networks for Object Recognition

Convolutional Neural Networks (CNNs) have truly gained attention in object recognition and object classification in particular. When being implemented on Graphics Processing Units (GPUs), deeper networks are more accurate than shallow ones. Residual Networks (ResNets) are one of the deepest CNN arch...

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Bibliographic Details
Main Authors: Younis Ibrahim, Haibin Wang, Man Bai, Zhi Liu, Jianan Wang, Zhiming Yang, Zhengming Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
residual networks
safety-critical systems
GPUs
reliability
soft error
Online Access:https://ieeexplore.ieee.org/document/8963961/

Internet

https://ieeexplore.ieee.org/document/8963961/

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