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In the current machine learning methods, deep learning is the focus of attention. Deep learning technology has achieved rapid development in various related fields, especially in the field of face recognition applications. Deep learning is to imitate the mechanism of the human neural perception system by layer-by-layer autonomous learning to obtain high-level abstract features, which can solve the distribution of facial changes, with fast learning speed and high recognition accuracy. This article introduces the advantages and core technologies of face deep learning, and studies and analyzes the application of face deep learning technology in university management.

This paper summarizes the background of the construction of campus video security monitoring system, points out that deep learning has an important impact on the development of campus security monitoring system, and puts forward the design principles and ideas of campus video security system. On the whole, the architecture of campus security monitoring system is constructed. The application of deep learning algorithm to campus security monitoring system will realize the precision of campus security management, improve the ability of campus security emergency command and decision, realize the intelligence of campus security operation, improve the efficiency of campus security work, improve the level of campus security management, and ensure the campus more safe and stable.

College physics course based on online teaching system can make the boring theoretical derivation process more intuitive and convenient with the help of the unique characteristics of multimedia technology and tools, so that students’ learning efficiency can be significantly improved, so it has high research value. Based on this, this paper first analyses the current situation and existing problems of college physics course teaching, then studies the necessity of constructing college physics online teaching platform, and finally gives the construction strategy of college physics online teaching system based on the construction of curriculum group.

With the continuous development of computer information technology, the DISLab system based on computer technology can effectively transform many abstract physical measurement parameters in college physics teaching into physical quantities that can be measured in real time with the help of computers, sensors and other software and hardware equipment, so it has been more and more widely studied and applied in physical experiments. Based on this, this paper first analyzes the application status and problems of DISLab device in college physics experiment teaching, then studies the necessity of DISLab in college physics experiment teaching, and finally analyzes the relationship between computer DISLab device and college physics experiment teaching.

The background and foundation of applying big data analysis to mobile communication network planning is precisely the current rapid growth of network data and the update and development of big data technology. With the help of big data analysis tools, based on the current communication network, planning goals, it can be more comprehensive Analyze and explore the value perception and behavior trajectory of network users, etc., so as to determine the market demand trend, formulate a more scientific and reasonable planning program. In short, the purpose of the application of big data in communication network, planning is to promote the healthy development of the network. The cellular wireless positioning algorithm that realizes TDOA positioning technology by using big data is a relatively important technology, which is studied in this paper.