Automated evaluation of neural networks using trained classifier
US10410111B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Oct 25, 2017 |
| Grant date | Sep 10, 2019 |
| Priority date | — |
| Expiry date | Oct 25, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer system includes a memory storing a data structure representing a neural network. The data structure includes a plurality of fields including values representing topology of the neural network. The computer system also includes one or more processors configured to perform neural network classification by operations including generating a vector representing at least a portion of the neural network based on the data structure. The operations also include providing the vector as input to a trained classifier to generate a classification result associated with at least the portion of the neural network, where the classification result is indicative of expected performance or reliability of the neural network. The operations also include generating an output indicative of the classification result.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.