公开(公告)号：US20230095606A1

公开(公告)日：2023-03-30

申请号：US18070682

申请日：2022-11-29

Applicant: Huawei Technologies Co., Ltd.

Inventor： Chanfei SU ,  Yong Wen ,  Kalander Marcus ,  Lujia Pan

IPC: G06N3/04 ,  G06V10/774

Abstract: A data processing method and apparatus are disclosed. The method includes: obtaining a sample dataset, where each sample in the sample dataset includes a first label; dividing the sample dataset into K sample sub-datasets, determining a group of data from the K sample sub-datasets as a test dataset, and using sample sub-datasets other than the test dataset as a train dataset; training the classifier by using the train dataset, and classifying the test dataset by using a trained classifier, to obtain a second label of each sample in the test dataset; obtaining a first indicator and a first hyper-parameter at least based on the first label and the second label; obtaining a loss function of the classifier at least based on the first hyper-parameter, where the loss function is used to update the classifier; and completing training of the classifier when the first indicator meets a preset condition.