Computer Image Recognition Technology Based on Deep Learning Algorithm

In the field of computer vision, deep learning is a very important research topic. It can not only help us analyze images, but also understand images into recognizable language. This paper uses deep learning algorithms for computer image recognition. On the basis of traditional recognition, a brand-new machine vision system is proposed. This paper analyzes the prediction accuracy of several different algorithms in computer image recognition through experimental methods. And through analysis and comparison, the algorithm has been explored, and the recognition method has been further understood. Through experimental data, we found that among the deep learning algorithms, RBM-SVM has the highest prediction accuracy, which is above 93%. Moreover, the recognition of static objects is easier and more accurate than dynamic objects.