Research on Optimal Allocation of Educational Resources Based on Deep Learning

In response to the problem of unequal distribution of education in some regions, a model for the allocation of learning resources based on the difference evolution algorithm is proposed. Using actual data and textbook resource allocation examples from teachers in six districts and cities, this study compares and analyzes the learning outcomes of resource allocation using simulation simulation. The results show that compared to the learning resource allocation model based on the combined model, this model has a similar work distribution, and at the same time, it is not easy, and it allows for effective learning resource allocation and educational management decision making.