WiMi Developed a BPR-based CNN Image Classification Technology to Better Solve the Image Classification Problems

In traditional CNN image recognition classification models, the softmax function is used for classification. WiMi BPR-based CNN image classification uses a mapping function to display CNN features in a high-dimensional feature space. Mapping CNN features into high-dimensional feature space: a mapping function needs to be used to map the CNN features into the high-dimensional feature space. By combining BPR and CNN, this technique can overcome some of the shortcomings of traditional pattern recognition, improve the performance of image classification, and can handle complex image classification problems. And it can deal with complex image classification problems, such as image recognition, target detection and image segmentation.