Search Results for author: Paul Jungeblut

Found 1 papers, 0 papers with code

Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete

no code implementations NeurIPS 2023 Daniel Bertschinger, Christoph Hertrich, Paul Jungeblut, Tillmann Miltzow, Simon Weber

We consider the problem of finding weights and biases for a two-layer fully connected neural network to fit a given set of data points as well as possible, also known as EmpiricalRiskMinimization.

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