Convolution is a bizarre mathematical operation. I never really got the intuitive hang of it despite using it a fair amount. I hate when I’m reduced to formula-monkey.
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It's the calculus equivalent of moiré effect where you slide one function over another.
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Yeah I get that for a pair of functions, but 3 functions is not just 3 sliding over each other
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colah.github.io/posts/2014-07- is decent
Also useful to derive it via linear algebra, but can’t find the source where I first saw that. Possibly Boyd’s linear dynamical systems lectures.
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That looks useful, thanks, though the neural nets context is a bit distracting for me
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is this visualization of convolution helpful for building intuition? too image-pixel domain specific? commons.m.wikimedia.org/wiki/File:3D_C
GIF
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Polynomial multiplication = convolution of coefficients (discrete convolution)
Also, sum of random variables has pdf that is a convolution of individual pdfs
etc.?
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