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If an SVM kernel can replicate a 2 layer NN, why couldn't there be a kernel for a X layer NN, and then autoderive the architecture just like SVMs can autoderive the correct number of neurons? Then there'd also be a more robust theoretical understanding of what's happening.


See my other point, there might be, in fact there definitely is for any working NN, but as of now (2019, happy new year) we probably can't find it




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