When reading about convolutional neural networks (CNNs), I often come across a special notation used in the community and in scientific papers, describing the architecture of the network in terms of layers. However, I was not able to find a paper or resource describing this notation in detail.
Could someone explain to me the details or point to where it is described or "standardized"?
(source)A good guess seems that xC
y are convolution layers (x is number of filters? y is one side of square kernel?). MP
z is max-pooling layer (pool size z×z?).
But instead of guessing, I would love to have a reference (which I could possibly also reference in a paper).