Deep learning is a machine learning algorithm for mining features from<br> complex nonlinear data,compared with other algorithms, it has a multilayer <br>abstract structure, and each layer is composed of learnable parameters.<br>
Deep learning algorithms can automatically extract <br>features from data through multiple iterations, improving accuracy.
Deep learning technology has been successfully applied in many fields, such as <br>computer vision,Natural language understanding, robot control, bioinformatics, etc.<br>
Deep learning models can not only accurately predict results,<br>It can also accurately identify and understand unstructured data, <br>such as images, videos, and so on.<br>
1、 Association and Structure: The Mutual Transformation of Experience and Knowledge
2、 Activity and Experience: The Mechanism of Student Learning
3、 Essence and variation: deep processing of learning objects
4、 Migration and Application: Simulating Social Practice in Teaching Activities
5、 Value and Evaluation: The Hidden Elements of "Human" Growth
