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The output of your convolutional layer is often passed from the ReLU activation function to bring non-linearity for the model. It will require the characteristic map and replaces the many destructive values with zero.A VGG-block had a bunch of 3x3 convolutions padded by one to maintain the size of output similar to that of enter, accompanied by max