This paper presents a face recognition system based on convolution neural network. The
system consists of four convolution layers, three pooling layers, one full-connected layer and …

Since science and technology have been progressing steadily in recent years, deep
learning's potential applications have expanded greatly. From unlocking the screen of a …

The traditional convolution neural network is widely used in face recognition, but there is still
a slow convergence rate. It needs to processbatch of normalization, and prevent gradient …

Face recognition technology is a kind of biometric recognition technology that has
developed rapidly in recent years, and the method based on deep learning is one of the …

Convolutional neural network (CNN) have been widely used in face recognition. The
illumination and the size of the data set affect the accuracy of face recognition based on …

Deep learning is one of the most important scopes of the Machine Learning that includes
some important architectures. Deep Convolutional Neural Network is one of the attractive …

This paper concentrates on the problem of human face recognition problem, which is a
crucial problem in computer vision. In this paper, the semi-supervised learning based …

Face recognition has important value in real life. In this study, the application of the deep
learning method in the field of face recognition was studied. The structure of LeNet-5 in …

Be aimed at the problems of slow training speed and poor precision of traditional face
recognition methods, a face recognition method based on a convolutional neural network is …