Neural network training method and apparatus, and data processing apparatus
US10853723B2 · kind B2 · utility
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21Claims
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Key dates
| Filing date | Mar 3, 2015 |
| Grant date | Dec 1, 2020 |
| Priority date | — |
| Expiry date | Jul 27, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neural network training method based on training data, includes receiving training data including sequential data, and selecting a reference hidden node from hidden nodes in a neural network. The method further includes training the neural network based on remaining hidden nodes obtained by excluding the reference hidden node from the hidden nodes, and based on the training data, the remaining hidden nodes being connected with hidden nodes in a different time interval, and a connection between the reference hidden node and the hidden nodes in the different time interval being ignored.
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