What is the size of the feature map for a given input size image, Filter Size, Stride, and Padding amount?

Data Science, AI and ML
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#1

Stride tells us about the number of pixels we will jump when we are convolving filters.

If our input image has a size of n x n and filters size f x f and p is the Padding amount and s is the Stride, then the dimension of the feature map is given by:

Dimension = floor[ ((n-f+2p)/s)+1] x floor[ ((n-f+2p)/s)+1]