A two-layer network with smooth activations can be read as a smooth spline whose knots come from hidden unit thresholds, and this mechanism yields universal approximation in any dimension.
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Understanding Two-Layer Neural Networks with Smooth Activation Functions
A two-layer network with smooth activations can be read as a smooth spline whose knots come from hidden unit thresholds, and this mechanism yields universal approximation in any dimension.