Formulae for calculating the shape of feature maps after convolutions

pytorch conv-neural-network

I know that Pytorch's documentation provides this, but I have difficulties in understanding their notation.

Is there any more accessible explanation (maybe also with graphical illustrations)?


Solution 1:

I think you are looking for Receptive Field Arithmetics.
This webpage provides a detailed explanation of the various factors affecting the size of the receptive field, and the shape of the resulting feature maps.

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