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The output in the convolutional layer will likely be handed through the ReLU activation purpose to bring non-linearity into the model. It takes the attribute map and replaces many of the destructive values with zero.A VGG-block had a bunch of 3x3 convolutions padded by one to help keep the size of output the same as that of input, accompanied by ma