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Affine Geometry of Gaussian ReLU Networks via Conditional Kac-Rice Formulas
We study how the affine geometry of finite ReLU networks is created at random initialization and reorganized by supervised training. We call a sign-changing zero of a hidden preactivation an activation switch and a point where the scalar network output is nondifferentiable a scalar kink. For one-dim
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