Training a neural network using stochastic whitening batch normalization
US12182685B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 16, 2021 |
| Grant date | Dec 31, 2024 |
| Priority date | — |
| Expiry date | Oct 22, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neural network system, comprising: instructions for implementing at least a SWBN layer in a neural network, and wherein the instructions perform operations comprising: during training of the neural network system on a plurality of batches of training data and for each of the plurality of batches: obtaining a respective first layer output for each of the plurality of training data; determining a plurality of normalization statistics for the batch from the first layer outputs; generating a respective normalized output for each training data in the batch; updating the whitening matrix by a covariance matrix; performing stochastic whitening on the normalized components of each first layer output; transforming the whitened data for each training data; generating a respective SWBN layer output for each of the training data from the transformed whitened data for each training data in the batch; and providing the SWBN layer output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.