Application of Deep CNN in the Class Status of Students

Li Senlin, Peng Xiaoning

Computer & Telecommunication ›› 2017, Vol. 1 ›› Issue (10) : 35-37.

Computer & Telecommunication ›› 2017, Vol. 1 ›› Issue (10) : 35-37.

Application of Deep CNN in the Class Status of Students

  • Li Senlin,Peng Xiaoning
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Abstract

At present, playing with mobile phones in the class is no longer an individual phenomenon for college students, and most teachers cannot be aware and stop it in time due to the focus on teaching. This paper proposes the application of convolution neural network model in class status for students. The state of students obtained by shooting is automatically recognized by network model and the listening status is identified. After class, teachers can give some guidance to the students purposely, to improve the teaching effects.

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class status / deep learning / convolutional neural networks

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Li Senlin, Peng Xiaoning. Application of Deep CNN in the Class Status of Students[J]. Computer & Telecommunication. 2017, 1(10): 35-37

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