The output from the convolutional layer will likely be passed in the ReLU activation purpose to bring non-linearity to the model. It takes the element map and replaces all of the adverse values with zero.It had been observed that with the network depth escalating, the accuracy gets saturated and eventually degrades. For that reason, facts researche