Design of political classroom interaction system in social virtual reality entertainment environment based on convolutional neural network

Abstract

With the continuous progress of AI intelligent technology, the internet industry has undergone tremendous changes. The application of virtual reality and other digital entertainment technology has changed the classroom mode, and at the same time, current political classrooms place more emphasis on interaction with society. Therefore, this article constructs a political classroom AI intelligent system based on CNN network. This system studies the political classroom from the perspective of AI intelligent construction, using a combination of theory and practice. This article selects some research materials from both domestic and international sources. Firstly, it summarizes and analyzes relevant concepts such as convolutional neural networks, summarizes the importance of political classroom education, and analyzes the problems faced by political classrooms in the context of AI intelligence. Then, experimental analysis was conducted on the AI intelligent system in the political classroom. The experiment proved that the AI intelligent system in the political classroom has good working performance in the actual operation process, and the overall performance is also better than other systems. Implementing a network-based AI intelligent system for the political classroom and applying AI intelligent technology in practical applications can improve the personalization and accuracy of the political classroom.