There is a neat git repository that generates animations of various different settings. But unfortunately it didn’t show dilation – which is one of my favourite Convolutional Neural Network techniques.
Edit: My changes are now merged
And here’s what my patch generates: The bottom layer is the input layer, the top is the output layer.
No stride, no padding, dilation of 2, kernel size of 3
The idea with dilation is that at each layer you double the dilation size. That way your receptive field grows exponentially with each layer, allowing you to deal with large images without pooling and thus have pixel sharpness.
John Tapsell 