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Therefore, “teaching optimization of cloud computing and deep learning” has been put on the agenda and has become the research focus of tennis teaching in major universities. With the continuous reduction of teaching hours, the teaching pressure of tennis teachers is increasing and even affects the effect of classroom teaching. At the same time, the increase of multimedia, online teaching, and practical courses also greatly reduces the teaching hours of college tennis physical education. In this paper, tennis intelligent teaching is taken as an example to analyze the advanced nature and intelligent advantages of intelligent teaching. In 2017, China Education Commission put forward the strategy of “comprehensive quality education” and the concept of “double reduction,” which reduced the college tennis teaching time from 48 hours in 2012 to 32 hours in 2020, with a decrease of 30%. Cloud computing and deep learning can have a key impact on the improvement of students' learning status and teaching content, and improve the overall teaching effect. Therefore, cloud computing and deep learning model can improve the accuracy of teaching effect evaluation in colleges and universities, provide support for the formulation of teaching evaluation schemes, and promote the development of intelligent teaching in colleges and universities.Ĭloud computing and deep learning was first applied in the field of power and gradually developed to the field of teaching in the later stage. The results show that the teaching evaluation method proposed in this paper can improve students' learning interest by about 30%, enhance learning initiative by about 20%, and the matching rate between the actual teaching effect and the expected requirements is 98%. Cloud computing and deep learning algorithm combine the teaching evaluation scale, teaching content, and characteristics to formulate teaching plans for different students and realize targeted teaching evaluation.

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In order to improve the effect of intelligent teaching and give full play to the role of intelligent technology in modern physical education, in this paper, cloud computing and deep learning methods are used to comprehensively evaluate the teaching effect of colleges and universities, and calculate the evaluation effect and accuracy.

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