Esearch on the optimization path of campus football teaching based on deep learning mode

Abstract To better improve students’ physical quality, this paper constructs a self-coding training model for the optimal path of football education based on neural network in deep learning model. The student’s performance and teaching methods are input into as layer. data corrected by regularizing balancing layer through coding decoding implicit is reconstructed transformed next level network. above steps repeated until same output parameters pre-trained reached, resulting optimization teaching: changing mode improving ability teachers. simulation results show that optimized can average score 33 points. Taking junior students an example, after teacher’s was improved, excellent rate scores increased from 7% to 29%. From results, it be seen feasible quality.