Deep Learning Analysis:

       Deep Learning is a method that uses a convolutional neural network to train the model and evaluate the classification of the samples to be tested according to the model. In this model, the complex classification model is transformed into 6-layer low-level convolution model, and the classification of the samples to be tested is completed with more than 95% accuracy and the proportion of all kinds of samples is counted.