Application Exploration of Visual Recognition Technology Based on Deep Learning Algorithm in Website Development.

With the rapid development of Internet technology, the amount of information we face is becoming more and more enormous. Traditional recognition methods have been unable to meet the needs of acquiring image content quickly and effectively. In this Internet age, developing websites is an essential job. From the perspective of deep learning algorithm, this paper studies and discusses a system based on deep neural network model, which aims to meet the user's personalized demand feature extraction. Through this system, the compatibility of users in different browsers can be obtained in real time, and the characteristics of images can be analyzed according to this information. This performance was then tested and analyzed, and the results showed that Chrome performed well in terms of compatibility, achieving the highest score of 9 out of all browsers. It was followed by Firefox and Safari, which scored 8 and 7 points, respectively. However, Edge and Opera had low compatibility scores of just 6 and 5, placing them at the bottom of the list. [ABSTRACT FROM AUTHOR]