Using batches of training items for training a network
US10671888B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 21, 2018 |
| Grant date | Jun 2, 2020 |
| Priority date | — |
| Expiry date | Aug 20, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Some embodiments provide a method for training a machine-trained (MT) network that processes inputs using network parameters. The method propagates a set of input training items through the MT network to generate a set of output values. The set of input training items comprises multiple training items for each of multiple categories. The method identifies multiple training item groupings in the set of input training items. Each grouping includes at least two training items in a first category and at least one training item in a second category. The method calculates a value of a loss function as a summation of individual loss functions for each of the identified training item groupings. The individual loss function for each particular training item grouping is based on the output values for the training items of the grouping. The method trains the network parameters using the calculated loss function value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.