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How to Do a Multinormial Classification
Most of the layers in a nornet e, i mean, ou you can use weighted sums and sigmoids. Butou also use a euclean distance unit so eucleandistance unite computes the distance of the input factor to a weight vactor. And then you take those scores and you computee lineal combination that's glorified in now, interpolating nearest neighbor. To some extent, transformers do this as well.