What is the significance of the depth of deep learning?

1, deep learning is a professional concept. The National Research Council of the United States summed up the essence of deep learning, that is, the process in which individuals can apply what they have learned in one situation to a new situation (that is, "transfer")

2. The literacy corresponding to deep learning is divided into three fields: cognitive field, interpersonal field and self-field.

3. Deep learning is learning from three-dimensional goals to core goals.

4. Deep learning is the study of cultivating learning ability. As Dr. Tian Yu said: The vitality of learning-perception, thinking and innovation. Perception is the entrance, thinking is the processing, and innovation is the exit. Perception is the prelude to learning, thinking is the core of learning, and innovation is the final result of learning.

5. Deep learning means turning knowledge into wisdom, turning knowledge into wisdom and turning everything into a saint.

6. Deep learning is learning to solve problems step by step. Give questions, methods and conclusions; Give questions, understand methods and find conclusions; Create a situation for students to find problems, find methods and draw conclusions.

7. Deep learning is a transformational learning from the current external control to the internal drive.

8. Deep learning is a kind of learning that changes from the current homogeneous and unified learning to personalized and selective learning.