Research Summary of Convolution Neural Network in Image Recognition

Abstract

Convolution neural networks is a model of deep learning and it is popular in image recognition, object detection and speech recognition. This paper studied Convolution neural networks in detail. Firstly this paper introduced the generation and development of convolution neural networks and illustrated its advantages in image recognition tasks. Then, it summarized the classic structure of convolution neural networks. Next, this paper stated the study trends and summarized five aspects: appropriately simplified networks, reducing over-fitting, increasing gradient signal, deeper networks and randomization. Finally, this paper discussed the problems existed in convolution neural networks and looked forward to the development trends