An Analytical Approach to Compute the Exact Preimage of Feed-Forward Neural Networks. (arXiv:2203.00438v4 [cs.LG] UPDATED)

Neural networks are a convenient way to automatically fit functions that are
too complex to be described by hand. The downside of this approach is that it
leads to build a black-box without understanding what happened inside. Finding
the preimage would help to better understand how and why such neural networks
had given such outputs. Because most of the neural networks are noninjective
function, it is often impossible to compute it entirely only by a numerical
way. The point of …

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