Research on Image Recognition Based on Deep Learning Technology

Nowadays image recognition technology is widely used, and plays a very important in various fields. Deep learning technology uses multilayer structure to analyze and deal with image features, which can improve the performance of image recognition. The popular models of deep learning contain AutoEncoder, Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) and other improved methods. The applications of image recognition based on deep learning technology including image classification, facial recognition, image search, object detection, pedestrian detection, video analysis. We believe that in the future deep learning will develop rapidly in theory, algorithm, and application and they will make our lives more intelligent.