Research on Higher Vocational Chinese Teaching System Based on Deep Neural Network

Higher vocational education in my country has grown quickly over the past 20 years. There are now higher vocational colleges (HVC), but the quality of education at these colleges has not changed. There are many problems with these colleges, like not knowing where higher vocational education is going and not having enough teachers. Since the turn of the century, the Internet has grown quickly. This has led to the development of artificial intelligence, which has led to the use of many new technologies in HVC classrooms. We suggest that HVC use a better face recognition model to improve the way they teach Chinese. Based on the deep neural network (DNN), this paper tries to study and analyze the Chinese system of higher vocational education in my country (DNN). We figure out what the students are doing in the Chinese teaching classroom of higher vocational education and tell the teachers how to teach the students so that the Chinese teaching system in higher vocational education in my country can be improved.