Abstract
Higher education plays an important role in the improvement of people's quality and the development of our country. Therefore, it is necessary to evaluate the higher education curriculum. This paper analyzes and constructs the deep network learning system and self-encoder and evaluates the Chongqing higher education curriculum based on the deep learning network selected by 50 universities in Chongqing. It is found that the numbers of test objects, indicators, and hidden layers have an impact on the evaluation results. At the same time, a classroom teaching model is designed to improve the quality of higher education and solve the problem of insufficient curriculum quality of higher education.
Highlights
As we all know, education has been an important issue of national concern
In order to understand the development of deep learning model in foreign countries, this paper introduces the deep learning model in foreign countries
According to the deep learning model, the course is divided into determining the course objectives, content segmentation, and classroom lecture design and model evaluation
Summary
Education has been an important issue of national concern. As the saying goes, knowledge changes destiny and science and changes the world. E changes of the times make the requirements of the society constantly improve [4]; on this basis, this paper puts forward the combination of people’s comprehensive development and deep learning and carries out a specific and effective research on innovative education. From the needs of personnel training, the evaluation of the current situation of deep learning, and students’ cognition of themselves, this paper makes a detailed analysis step by step. From the meaning of active learning, this paper explains the importance of active learning and its value in the process of students’ growth, and according to the attitude of the United Nations towards active learning, it summarizes that active learning has become a trend and puts forward
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