FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions-Reference-Cited by-同舟云学术

FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions

Published:2022-03-14 Issue: Volume: Page:
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Container-title:2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
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Author:

Ghavami Behnam¹,Sadati Mani¹,Fang Zhenman¹,Shannon Lesley¹

Affiliation:

1. Simon Fraser University,Burnaby,BC,Canada

Publisher

IEEE

Link

Reference29 articles.

1. Analyzing and increasing the reliability of convolutional neural networks on gpus;dos;IEEE Tr,2018

5. Activation functions: Comparison of trends in practice and research for deep learning;nwankpa;ArXiv Preprint,2018

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