System and method for training artificial neural networks
US11586906B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 17, 2018 |
| Grant date | Feb 21, 2023 |
| Priority date | — |
| Expiry date | Dec 22, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG11C11/16
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computing device receives first data on which to train an artificial neural network (ANN). Using magnetic random access memory (MRAM), the computing device trains the ANN by performing a first set of training iterations on the first data. Each of the first set of iterations includes writing values for a set of weights of the ANN to the MRAM using first write parameters corresponding to a first write error rate. After performing the first set of iterations, the computing device performs a second set of training iterations on the first data. Each of the second set of iterations includes writing values for the set of weights of the ANN to the MRAM using second write parameters corresponding to a second write error rate. The second write error rate is lower than the first write error rate. The computing device stores values for the trained ANN.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.