基于深度学习的人脸表情识别系统

Facial expression recognition system based on deep learningAbstractWith the progress of society and the development of economy,artificial intelligence hasbeen applied in a variety of scenarios,the most typical application is the application of robots.The design of human-computer interaction has become more and more mature.In order tounderstand the correct thoughts of people,robots should not only be reflected in language,butalso analyze the correct emotions of people in other aspects.Facial expression recognitionanalysis is a major breakthrough point.This article from the nature of the neural network isintroduced to use convolution neural network to build model for concrete analysis,includingnatural neural network and the convolution of the neural network knowledge,including somemathematical derivation,analysis on the structures,processes and results of the model,will beused in the knowledge points in detail summarized make people better understand and realizethe actual model is set up.The model building in this paper is finally implemented byAlexNet,the champion of ILSVRC in 2012,and the model will be analyzed.At the end of thepaper,it will also put forward the improvement of the model by using VGG network,ResNet,GoogLeNet and other methods with more layers of neural networks.Keywords:Facial expression recognition convolutional neural network;Knowledge ofinduction Mathematical deduction;AlexNet