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Patent Searching and Data


Title:
METHOD FOR ASSETIZATION OF TRAINED ARTIFICIAL NEURAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2023/113090
Kind Code:
A1
Abstract:
Method, performed by a computing device, for assetization of a trained artificial neural network according to an embodiment of the present invention may comprise the steps of: receiving first artificial neural network data, the first artificial neural network data including at least one weight in which the result of training a first artificial neural network is reflected; and generating second metadata for the first artificial neural network data, the second metadata including training data items and owner items which have been used to train the first artificial neural network.

Inventors:
OH SE JIN (KR)
Application Number:
PCT/KR2021/020202
Publication Date:
June 22, 2023
Filing Date:
December 29, 2021
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Assignee:
TEN INC (KR)
International Classes:
G06Q40/06; G06N3/04; G06N3/08
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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