Network Intelligent Education System Based on the Deep Learning Algorithm

In order to promote the deep integration of education and artificial intelligence landing in field education, a method based on learning is proposed. Deep very advanced pattern recognition algorithm, it can mine potentially valuable knowledge from massive data provide support for people’s scientific decision-making. Experimental show that classification accuracy algorithm reaches 99.5%. Even case large volume categories, still up 96.3%, which far higher than vector machine Bayesian theory K-means learn users more accurately. Conclusion. The network intelligent system strengthens automation, intelligence, interest learning, so as ensure initiative learning.