ZA202303562B - Method, device, storage medium and apparatus of training a neural network model - Google Patents

Abstract

The present invention is applicable to the technical field of model training. Provided are a neural network model training method, device and system. The method includes: acquiring an original data set and training an original neural network model according to the original data set; identifying a noise label from the original neural network model; and modifying the noise label and training a new neural network model according to a modified data set. The present invention is performed by training an original neural network model from an original data set first, and identifying a noise label in the original neural network model, thereby determining an erroneous label in the original data set, after modifying the erroneous label, finally training a new neural network model according to a modified data set, thus has high accuracy and good interpretability as the erroneous label is directly determined from the network model and modified, so that a new neural network model obtained through final training has a better anti-interference effect.