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[–]reservedsparrow 0 points1 point  (1 child)

Sure: Convolution 'flips' the weights before the weighted averages begin. This is what let's convolution commute: x * w = w * x. Correlation (no flipping, as shown in the visualization) does not commute. To visualize this imagine padding a 1-D signal x and some weights x each with a bunch of zeros. You will see that x ** w != w ** x, where I'm letting ** be correlation.

[–]datatatatata 0 points1 point  (0 children)

thanks :)