Hybrid neural network pruning
US12248877B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 19, 2018 |
| Grant date | Mar 11, 2025 |
| Priority date | — |
| Expiry date | Jun 3, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A pruned version of a neural network is generated by determining pruned versions of each a plurality of layers of the network. The pruned version of each layer is determined by sorting a set of channels of the layer based on respective weight values of each channel in the set. A percentage of the set of channels are pruned based on the sorting to form a thinned version of the layer. Accuracy of a thinned version of the neural network is tested, where the thinned version of the neural network includes the thinned version of the layer. The thinned version of the layer is used to generate the pruned version of the layer based on the accuracy of the thinned version of the neural network exceeding a threshold accuracy value. A pruned version of the neural network is generated to include the pruned versions of the plurality of layers.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.