LEARNING SYSTEM, LEARNING METHOD AND PROGRAM

Calculating a first loss based on an output of a learning model and a target output, when multi-label query data is input to a learning model. Acquiring a feature amount of the query data and a feature amount of support data corresponding to the query data, which are calculated based on a parameter...

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Bibliographische Detailangaben
Hauptverfasser: KIM, Mijung, PRAKASHA, Preetham, CHAE, Yeongnam
Format: Patent
Sprache:eng
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Zusammenfassung:Calculating a first loss based on an output of a learning model and a target output, when multi-label query data is input to a learning model. Acquiring a feature amount of the query data and a feature amount of support data corresponding to the query data, which are calculated based on a parameter of the learning model. Calculating a second loss based on the feature amount of the query data and the feature amount of the support data. Adjusting the parameter based on the first loss and the second loss.