Training network to minimize worst-case error
US11475310B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 28, 2017 |
| Grant date | Oct 18, 2022 |
| Priority date | — |
| Expiry date | Feb 24, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Some embodiments provide a method for configuring a machine-trained (MT) network that includes multiple configurable weights to train. The method propagates a set of inputs through the MT network to generate a set of output probability distributions. Each input has a corresponding expected output probability distribution. The method calculates a value of a continuously-differentiable loss function that includes a term approximating an extremum function of the difference between the expected output probability distributions and generated set of output probability distributions. The method trains the weights by back-propagating the calculated value of the continuously-differentiable loss function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.