A trained model is constructed whose introduction cost is relatively low and that is robust to the difference in the attribute regarding acquisition of data. A learning apparatus according to one aspect of the invention executes, with respect to each learning data set, a first training step of training a second encoder and a second metadata identifier such that the identification result by the second metadata identifier matches the metadata, a second training step of training encoders and an estimator such that the result of estimation performed by the estimator matches correct answer data, a third training step of training a first metadata identifier such that the result of identification performed by the first metadata identifier matches the metadata, and a fourth training step of training a first encoder such that the result of identification performed by the first metadata identifier does not match the metadata. The third training step and the fourth training step are alternatingly and repeatedly executed.
LEARNING DEVICE, DEDUCTION DEVICE, DATA GENERATION DEVICE, LEARNING METHOD, AND LEARNING PROGRAM
LERNVORRICHTUNG, DEDUKTIONSVORRICHTUNG, DATENERZEUGUNGSVORRICHTUNG, LERNVERFAHREN UND LERNPROGRAMM
DISPOSITIF D'APPRENTISSAGE, DISPOSITIF DE DÉDUCTION, DISPOSITIF DE GÉNÉRATION DE DONNÉES, PROCÉDÉ D'APPRENTISSAGE ET PROGRAMME D'APPRENTISSAGE
2022-12-21
Patent
Electronic Resource
English
LEARNING DEVICE, ESTIMATION DEVICE, DATA GENERATION DEVICE, LEARNING METHOD AND LEARNING PROGRAM
European Patent Office | 2020
|European Patent Office | 2019
|European Patent Office | 2020
|European Patent Office | 2023
|LEARNING DATA GENERATION DEVICE AND LEARNING DATA GENERATION METHOD
European Patent Office | 2020
|