Concept

Same Convolution in DNN

Means padding so that output size is the same as the input size. (n+2p)×(n+2p)f×f=(n+2pf+1)×(n+2pf+1)(n + 2p) \times (n + 2p) * f \times f = (n + 2p - f + 1) \times (n + 2p - f + 1) In order to make the output size the same as the input size: n+2pf+1=np=f12n + 2p - f + 1 = n \Rightarrow p = \frac{f - 1}{2}

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Updated 2021-04-09

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Data Science