The performance of proposed deep residual learning network of images

Nowadays, artificial intelligence has become more and more popular in daily life. In this paper, a ten-layer network model which is based on residual thought is proposed. And the deep learning framework Caffe is used to verify the proposed algorithm where a face dataset and a car dataset collected from multiple perspectives are employed. Results show that the proposed residual network model contributes to improve the accuracy of recognition.