Neural network training method, neural network training apparatus and electronic device
US11645537B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 19, 2020 |
| Grant date | May 9, 2023 |
| Priority date | — |
| Expiry date | Jun 28, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are a neural network training method, a neural network training device and an electronic device. The neural network training method includes: training a first neural network to be trained by using sample data; determining an indicator parameter of the first neural network in a current training process; determining an update manner corresponding to a preset condition if the indicator parameter meets the preset condition; and updating a parameter of a batch normalization layer in the first neural network based on the update manner. In this way, sparsing of a feature map output by a neural network is implemented, thereby reducing an amount of data to be transmitted and improving computation speed of a chip.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.