Neural network classification
US11138724B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 3, 2017 |
| Grant date | Oct 5, 2021 |
| Priority date | — |
| Expiry date | Jan 6, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30061
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Neural network classification may be performed by inputting a training data set into each of a plurality of first neural networks, the training data set including a plurality of samples, obtaining a plurality of output value sets from the plurality of first neural networks, each output value set including a plurality of output values corresponding to one of the plurality of samples, each output value being output from a corresponding first neural network in response to the inputting of one of the samples of the training data set, inputting the plurality of output value sets into a second neural network, and training the second neural network to output an expected result corresponding to each sample in response to the inputting of a corresponding output value set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.