Hardware implementation of RRAM based binarized neural networks
Resistive switching random access memory (RRAM) has been explored to accelerate the computation of neural networks. RRAM with linear conductance modulation is usually required for the efficient weight updating during the online training according to the back-propagation algorithm. However, most RRAM...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2019-08-01
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| Series: | APL Materials |
| Online Access: | http://dx.doi.org/10.1063/1.5116863 |