Which parameter is usually adapted to the image size so that a convolutional layer can process images of varying sizes? Briefly explain.
A.:
The stride. Using stride=(k,m) amounts to dividing the image sizes by k and l, respectively. By careful choice of the stride according to input sizes, one can achieve an output of fixed size for this layer.