Systems and methods for modifying neural networks for binary processing applications
US11790241B2 · kind B2 · utility
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23Claims
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Key dates
| Filing date | Sep 9, 2020 |
| Grant date | Oct 17, 2023 |
| Priority date | — |
| Expiry date | Apr 19, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a method of simulating an operation of an artificial neural network on a binary neural network processor includes receiving a binary input vector for a layer including a probabilistic binary weight matrix and performing vector-matrix multiplication of the input vector with the probabilistic binary weight matrix, wherein the multiplication results are modified by simulated binary-neural-processing hardware noise, to generate a binary output vector, where the simulation is performed in the forward pass of a training algorithm for a neural network model for the binary-neural-processing hardware.
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