Deep Learning Algorithm and Video Image Processing-based Basketball Training System

The training of basketball players is a complex and hard work. In the game, how to finish the ball quickly and accurately, and how to improve the goal rate and score through correct and effective methods. This paper first introduces the deep learning algorithm and analyzes its basic idea, then expounds the data mining based on the pixel method and the preprocessing of the original data from the two aspects of feature extraction and modeling, and finally uses the experimental results to prove that MATLAB can be applied to the video retrieval, motion recognition and other fields in the basketball training system to achieve efficient basketball game score statistics and teaching guidance.