Application of Jupyter Notebook in Teaching Pattern Recognition

Abstract

Artificial intelligence technology is so pervasive today that it is important to teach basic theory and technique of pattern recognition for undergraduate of electronic information. Pattern recognition course contains a number of abstract concepts and math principles, and the experiments in the course require some programming skills and tricks. These factors make it difficult for undergraduates to study. This paper analyzes the limitation of traditional multimedia technology, and proposes an interactive classroom teaching method based on Jupyter Notebook. Using Notebook, teachers can organize descriptive texts, mathematical notations, code and its result into web pages effectively. According to our teaching experience, using Jupyter Notebook in pattern recognition course can improve undergraduates' study initiative and promote the teaching effect.