SHE-MTJ based ReLU-max pooling functions for on-chip training of neural networks
We present a detailed investigation of various routes to optimize the power consumption of the spintronic-based devices for implementing rectified linear activation (ReLU) and max-pooling functions. We examine the influence of various spin Hall effect layers, and their input resistances on the power...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2024-02-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/9.0000685 |