Aiming at the low accuracy of multimedia visual image cooperative classification, a new method of multimedia visual image cooperative classification based on depth machine learning model is proposed. Firstly, HSV color space model is selected to extract color features of multimedia visual images, Gabor function is used to extract texture features, and shape invariant moments are used to extract shape features. Then the features of multimedia visual images are recognized and classified, and the model parameters are optimized and adjusted according to the deviation of training output. The experi...
