A doctor's visit is a manifestation of Bayesian probability. It's impossible for a doctor to find someone who has the same condition as the patient to do the experiment and determine the probability. He can only administer drugs based on the patient's symptoms and his years of medical experience. A judgment. In the context of deep learning, probability is still studied by many people due to its complete theoretical system, which is enough to see its uniqueness. Now use probabilistic knowledge to explain the neural network, so that the results can get more results. The combination of stable, deep networks and probabilistic and statistical theory is imperative