Convolutional Networks

Padding

Keep a visible zero border and calculate the resulting shape.

y[r,c] = Σ input[r×stride+i−pad,c×stride+j−pad] × kernel[i,j]

0×1 + 0×0 + 1×-1 + 0×1 + 1×0 + 1×-1 + 1×1 + 1×0 + 1×-1

Output = -2

Output size = floor((input + 2×padding − kernel) / stride) + 1floor((5 + 2×0 − 3) / 1) + 1 = 3

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Padding

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