If you want to avoid doing deep learning, you must constantly explore and accumulate exploration in the usual process. In this way, I will not cause some necessary pressure on myself, so that I can only do my homework in peacetime, and then there will be no such result, or it depends on myself. The usual attitude towards learning and time allocation (DL, deep learning) is a new research direction in the field of machine learning (ML), which is introduced into machine learning to make it closer to the original goal-artificial intelligence (AI), which is the research concept of artificial neural network. Then don't choose to be a tutor in this direction, just try to avoid related research topics. But if this is a frontier field, it is best not to deliberately avoid it for the sake of development. There is no end to learning. To be a high-end computer expert. Learn the basics well first. There are many in-depth things, and there are too many mysteries in them. Just like Moore's law. When it reaches a certain level. As an advanced master of computer science, it is difficult to make any further progress. I have learned all these basic things. Something deeper. There is no need to learn any more, because when you haven't learned the first thing, you will understand it yourself, and there is no need to study further.