Application of Deep Learning in the Reform of Japanese Education in the Information Age

Abstract

With the advent of the era of informationization and big data, information technology has also been widely used in all aspects of education and teaching. This article aims to study the application of deep learning in the reform of Japanese education in the information age. This article first describes and explains the concept of deep learning in the information age, and then puts forward the literature analysis method, questionnaire survey method, interview method and classroom observation method to more intuitively understand the true and accurate ideas and practical implementation of students. Finally, the Japanese language education talent training model was constructed to lay the foundation for the future training of Japanese talents. The experimental results in this article show that deep learning in the information age has a great influence on Japanese education reform. Through the results of the Japanese performance comparison experiment, it can be seen that the scores of the first three classes in the experiment are greater than 0.5, which verifies the correctness of the experiment. The student performance of the class has been significantly improved compared to the performance of the ordinary class.