To elaborate, though the page does mention the distinction: (Cross-)correlation is convolution with a reversed kernel (second signal) (or vice-versa, of course

To elaborate, though the page does mention the distinction: (Cross-)correlation is convolution with a reversed kernel (second signal) (or vice-versa, of course). (For discrete signals, reversing the kernel is just a swapping the indexes around; which makes absolutely no difference for deep-learning). Convolution is more "natural" because it's abelian, whereas swapping signal and kernel in cross-correlation time-reverses the result.