Research on the application of computer CNN in image recognition

Abstract

With the development of AI, deep learning (hereinafter referred to as DL) has been applied to many aspects, especially the application of CNN in image recognition (hereinafter referred to as IR). CNN is an important branch of DL, which has been deeply studied in IR. Through CNN, we can choose the right image in the image set, which can also be classified. With the different purposes of IR, the academia has developed a variety of different CNN models, which will better promote the application in IR. By increasing the training data, we can improve the recognition rate and accuracy of CNN, which will improve the efficiency of IR. IR based on CNN has broken the bottleneck of traditional target detection (hereinafter referred to as TD), which has become a mainstream algorithm in the field of TD. Firstly, this paper analyzes the basic theory and related models of CNN. Finally, this paper analyzes the application of CNN in IR.