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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/31730/1/A%20selective%20mitigation%20technique%20of%20soft%20errors.pdf http://umpir.ump.edu.my/id/eprint/31730/ https://doi.org/10.1109/ACCESS.2021.3076716 https://doi.org/10.1109/ACCESS.2021.3076716 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!