公开(公告)号：US20240152805A1

公开(公告)日：2024-05-09

申请号：US18384634

申请日：2023-10-27

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Hao LI ,  Gopi Krishnan Rajbahadur ,  Dayi Lin ,  Zhenming Jiang

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A method for detecting and/or preventing overfitting in training of deep learning and neural network models. The method has a classifier-training method, an overfitting-detection method, and an overfitting-prevention method. The classifier-training method trains one or more classifiers using training histories and labels of one or more trained machine-learning (ML) models. The overfitting-detection method uses the trained classifiers based on the training history such as validation losses of a trained target ML model to identify an overfitting status of the trained target ML model. The overfitting-prevention method is performed during the training of a target ML model and uses the trained classifiers based on the training history of the target ML model to identify and preventing overfitting of the target ML model.