Practical Research on Primary Mathematics Teaching Based on Deep Learning

Table 2

Computer science summarizes the implementation process comparison of deep learning and deep learning teaching practice.

The implementation process of deep learning in computer science	Deep learning teaching practice
Determine the input initial data	Assign learning tasks, and lead to the main content of classroom teaching
Determine the neurons of the “hidden layer”	Actively explore and activate the knowledge meta
Through the training data, the weights and the activated neurons were determined	Get the essence of mathematics and guide students to recall the learned knowledge
By evaluating the model, by verifying the data	Consolidate the connection between knowledge yuan, test whether students firmly grasp knowledge
Finally determine the model	Summarize the learning process, and gradually form a good learning habits