Convolution: extract local features
Relu: leaving the relevant features, the relevant feature is not removed, then the greater the value of the convolution described, the stronger the greater the negative correlation of the convolution kernel, not greater relevance.
The purpose of the pool: leave the most relevant features, or leave the most obvious feature.