Exploring the impact of random telegraph noise-induced accuracy loss in Resistive RAM-based deep neural network
For Resistive RAM (RRAM)-based deep neural network, Random telegraph noise (RTN) causes accuracy loss during inference. In this work, we systematically investigated the impact of RTN on the complex deep neural networks (DNNs) with different datasets. By using 8 mainstream DNNs and 4 datasets, we exp...
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| Main Authors: | , , , , , , , |
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| Format: | Default Article |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/12445907.v1 |
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