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The formula to determine the output size is [(W−K+2P)/S]+1. Here the number of filters used is not significant for determining the ouput size, I was wondering why?

Is it because Each filter is separately applied to the input to obtain a feature map and the output of the that part is considered as dimension size?

Please note:

  • W refers to the input size, K refers to the filter size where as P stands for padding and S stands for stride
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    $\begingroup$ Can you please define the variables? Not all people use the same letters for these parameters. $\endgroup$
    – Kota Mori
    Sep 10 '21 at 11:17
  • $\begingroup$ Updated the question with terms explained $\endgroup$ Sep 10 '21 at 11:34
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The formula you've given is for 1 filter. If you have $N$ filters, then you have $N$ outputs of the size you describe.

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