Classification apparatus and method for optimizing throughput of classification models
US11481632B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 5, 2019 |
| Grant date | Oct 25, 2022 |
| Priority date | — |
| Expiry date | Aug 25, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A classification apparatus is configured to perform a classification using a neural network with at least one hidden layer and an output layer, wherein the classification apparatus comprises a coarse training unit configured to train the neural network on a subset of neurons of a last hidden layer and a set of neurons of the output layer; and a fine training unit configured to train the neural network on a set of the last hidden layer and a subset of neurons of the output layer. By executing the classification apparatus, training of a classification model can be improved by reducing the computational burden of the classification, speeding up the training time of a classification model, and speeding up the inference time during application of the classification model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.