Optimisation and Quality Evaluation of Teaching Models in Primary and Secondary Schools Based on Deep Learning

This paper examines the concept of deep learning and evaluates the quality of teaching models in primary and secondary schools. Based on the comprehensive evaluation application of fuzzy theory, the fuzzy model is established, the evaluation index scheme is selected, and the quality evaluation model of primary and secondary school teaching mode is constructed. The evaluation index system is divided into indexes, and the weights of indexes are calculated, and the first-level indexes are divided into teaching content, teaching management, teaching effect, and teaching attitude. Calculate the fuzzy comprehensive evaluation score of primary and secondary school teaching mode and adjust the primary and secondary school teaching mode based on the score. The final score of a comprehensive evaluation of teaching mode is 4.32, teaching content Q₁ = 4.33, teaching attitude Q₂ = 4.26, teaching management Q₃ = 4.43, and teaching effect Q₄ = 4.05. In the quality evaluation of primary and secondary school teaching mode, teaching management > teaching content > teaching attitude > teaching effect.