Neural network training method and apparatus
US11475300B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 13, 2019 |
| Grant date | Oct 18, 2022 |
| Priority date | — |
| Expiry date | Apr 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neural network training method includes inputting neuron input values of a neural network to the RRAM, and performing calculation for the neuron input values based on filters in the RRAM, to obtain neuron output values of the neural network, performing calculation based on kernel values of the RRAM, the neuron input values, the neuron output values, and backpropagation error values of the neural network, to obtain backpropagation update values of the neural network, comparing the backpropagation update values with a preset threshold, and when the backpropagation update values are greater than the preset threshold, updating the filters in the RRAM based on the backpropagation update values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.