Design of Improved Deep Convolution Network Model

摘要

Convolution neural network is a feed-forward neural network which contains convolution calculation and has depth structure. In this paper, the basic structure and operation principle of convolution neural network are analyzed. CNN has the best effect in handwritten recognition, and the application of CNN in face-based gender recognition is also very good. In this paper, the factors that influence the convolution neural network model are analyzed. In this paper, the improved deep convolution network model is proposed, and the results show that the improved method can effectively improve the classification effect and classification accuracy of the convolution neural network.