Image recognition system based on deep learning technology

Abstract

In recent years, people have been able to easily obtain a large amount of visual information through various devices, but not all of these visual information are useful, and there is a lot of useless information mixed with them, which makes it difficult for people to identify and track the target parent in the picture. Due to its various characteristics, deep learning technology can quickly obtain information from massive information and compare, analyze and utilize it, so it has become the key to solving the problem of image recognition and tracking. This paper will summarize the existing literature, focus on the structure of the image detection system based on deep learning technology, explain its basic principles, and briefly introduce the basis of deep learning technology - neural network. This paper finds that there are many technical routes for image recognition systems based on deep learning technology, each of which has its own advantages and disadvantages.