Patent · US Active

Iterative transfer of machine-trained network inputs from validation set to training set

US11531879B1 · kind B1 · utility

6Cited by

6References

20Claims

0Family size

Assignee

Perceive Corporation · US

Inventors

Steven Teig · Menlo Park, US
Eric A. Sather · Palo Alto, US

Key dates

Filing date	Jun 26, 2019
Grant date	Dec 20, 2022
Priority date	—
Expiry date	Mar 26, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N7/01
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Some embodiments provide a method for training a machine-trained (MT) network. The method uses a first set of training inputs to train parameters of the MT network. The method uses a set of validation inputs to measure error for the MT network as trained by the first set of training inputs. The method adds at least a subset of the validation inputs to the first set of training inputs to create a second set of training inputs. The method uses the second set of training inputs to train the parameters of the MT network. The error measurement is used to modify the training with the second set of training inputs.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.