The output of your convolutional layer is frequently passed in the ReLU activation purpose to bring non-linearity to your model. It's going to take the attribute map and replaces all the negative values with zero.It is one of the most crucial applications of machine learning and deep learning. The goal of the discipline is to show devices to unders