Operating machine-learning models on different platforms
US11100398B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 30, 2016 |
| Grant date | Aug 24, 2021 |
| Priority date | — |
| Expiry date | Oct 15, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/082
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An electronic device may determine whether a machine-learning model is operating within predefined limits. In particular, the electronic device may receive, from another electronic device, instructions for the machine-learning model, a reference input and a predetermined output of the machine-learning model for the reference input. Note that the instructions may include an architecture of the machine-learning model, weights associated with the machine-learning model and/or a set of pre-processing transformations for use when executing the machine-learning model on images. In response, the electronic device may configure the machine-learning model based on the instructions. Then, the electronic device may calculate an output of the machine-learning model for the reference input. Next, the electronic device may determine whether the machine-learning model is operating within predefined limits based on the output and the predetermined output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.