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公开(公告)号：US20220207360A1
公开(公告)日：2022-06-30
申请号：US17547166
申请日：2021-12-09
Inventor： Sang Wan LEE , Geon Yeong PARK
Abstract: Various embodiments relate to a computer system for multi-source domain adaptative training based on a single neural network without overfitting and a method thereof. The various embodiments may configured to regularize data sets of a plurality of domains, extract information shared between the regularized data sets, and implement a training model by performing training based on the extracted information.
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