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Keyword: scikit-learn

Repository:josch14/double-descent30 Jul 2026
Investigating Double Descent in Fully Connected Neural Networks on MNIST
A research project from the University of Ulm analyses the double descent phenomenon in two-layer fully connected neural networks (FCNNs) using the MNIST dataset. The work reproduces and expands upon Belkin et al. (2019), evaluating the impact of label noise and regularization techniques.
15starsPython
From Video: Weekly AI Updates: Model Releases, Agent Harnesses, and Developer Tooling (August 2026)
AI & LLMs· Research

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Investigating Double Descent in Fully Connected Neural Networks on MNIST

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