Neural network compression method, apparatus and device, and storage medium
US12045729B2 · kind B2 · utility
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Key dates
| Filing date | Jan 25, 2021 |
| Grant date | Jul 23, 2024 |
| Priority date | — |
| Expiry date | Jan 25, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0895
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neural network compression method whereby forward inference is performed on target data by using a target parameter sharing network to obtain an output feature map of the last convolutional module, a channel related feature is extracted from the output feature map, the extracted channel related feature and a target constraint condition are input into a target meta-generative network, and an optimal network architecture under the target constraint condition is predicted by using the target meta-generative network to obtain a compressed neural network model.
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