Author(s)

Juncheng Chen

Corresponding Author

Juncheng Chen

ABSTRACT

In the era of computer data, the scale of data owned by a country and its ability to use data will become an important part of a country's comprehensive national strength, and the possession and control of data will become a new focus of competition between countries and enterprises. DL (Deep Learning) is a branch of machine learning and part of AI (Artificial Intelligence). DL achieves the purpose of acquiring new knowledge or skills by simulating human learning activities. Based on DL theory, with the goal orientation of diagnosing DL results, intervening DL process and predicting final performance, this paper explores the commonness and difference of existing learning analysis models by comparative research method, and constructs DL analysis model, in order to provide new ideas for exploring learning behavior and DL.

KEYWORDS

Computer data, DL, make a model