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Title:
METHOD FOR ASSETIZING TRAINING DATA FOR TRAINING ARTIFICIAL NEURAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2023/113089
Kind Code:
A1
Abstract:
A method by which a computing device assetizes training data for training an artificial neural network, according to one embodiment of the present invention, may comprise the steps of: identifying first training data and a first tag for the first training data, the first tag being a mark to be learned in correspondence to the first training data in the training of the artificial neural network using the first training data; and generating first metadata for the first training data, the first metadata including an owner item of the first training data.

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Inventors:
OH SE JIN (KR)
Application Number:
PCT/KR2021/020196
Publication Date:
June 22, 2023
Filing Date:
December 29, 2021
Export Citation:
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Assignee:
TEN INC (KR)
International Classes:
G06Q40/06; G06N3/08; G06Q30/06
Foreign References:
KR20200080819A2020-07-07
KR102310598B12021-10-13
KR101985900B12019-09-03
KR102086001B12020-03-06
KR102211597B12021-02-03
Attorney, Agent or Firm:
Y.P.LEE, MOCK & PARTNERS (KR)
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