Facilitating implementation of machine learning models in embedded software
US12204964B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 2, 2023 |
| Grant date | Jan 21, 2025 |
| Priority date | — |
| Expiry date | Mar 2, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are provided for facilitating implementation of machine learning models in embedded software. In embodiments, a lean machine learning model, having a limited number of layers, is trained in association with a complex machine learning model, having a greater number of layers. To this end, a complex machine learning model, having a first number of layers, can be trained based on an output generated from a lean machine learning model used as input to the complex machine learning model. Further, the lean machine learning model, having a second number of layers less than the first number of layers, is trained using a loss value generated in association with training the complex machine learning model. Thereafter, the trained lean machine learning model can be provided for implementation in an embedded software.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.