A Facial Expression Recognition Based on Improved Convolutional Neural Network

In order to solve the problems of low recognition rate and complex algorithm of traditional facial expression recognition methods, an improved facial expression recognition algorithm based on convolutional neural network (CNN) was proposed. The convolutional neural network uses batch regularization and ReLU activation function to solve the problem of gradient disappearance. The Dropout technology is introduced to solve the problem of network overfitting. Experimental results show that the improved convolutional neural network can improve the accuracy of face expression image recognition.