A selective mitigation technique of soft errors for DNN models used in healthcare applications: DenseNet201 case study
Deep neural networks (DNNs) have been successfully deployed in widespread domains, including healthcare applications. DenseNet201 is a new DNN architecture used in healthcare systems (i.e., presence detection of the surgical tool). Specialized accelerators such as GPUs have been used to speed up the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/31730/ http://umpir.ump.edu.my/id/eprint/31730/1/A%20selective%20mitigation%20technique%20of%20soft%20errors.pdf |