How do the top and bottom layers of AlexNet communicate?
I am trying to re-implement Krizhevsky et al., 2012 using PyTorch, and I am confused how precisely the second and the third convolutional layers of the AlexNet model communicate (and same for inputs from the fifth to the sixth layer, and from the sixth to the seventh layer, although I am omitting this in my question here).