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It doesn’t surprise me. It’s been known a long time that you can model arbitrary functions with a 3-layer network with logistic activation.


Do you have any further information or a source for this? As someone unfamiliar with ML, this sounds crazy to me.


It was first proposed here[1]: "Approximation by superpositions of a sigmoidal function"

[1]: https://link.springer.com/content/pdf/10.1007/BF02551274.pdf




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