IMAGE CLASSIFICATION METHOD, TERMINAL DEVICE AND NON-VOLATILE COMPUTER READABLE STORAGE MEDIUM

摘要

Disclosed are an image classification method, a terminal device, and a non-volatile computer readable storage medium, applicable to the technical field of computers. The method comprises: obtaining a target image to be classified (S101); on the basis of optimal parameters in an image classification model, performing feature extraction on the target image to obtain image features, and performing classification prediction process on the image features to obtain an image classification result (S102); the optimal parameters are obtained on the basis of a preset noise value when the 2-norm of the loss function of the image classification model is less than a first preset value, and the preset noise value is used to enable model parameters determined by the trained image classification model to avoid saddle points during iterative optimization; and outputting the image classification result (S103). The described image classification method can analyze the image features of an input image on the basis of the optimal parameters in the model, thereby improving the classification accuracy of the image classification model.