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What Models Prefer to Learn: A Geometric Framing of Architecture and Regularization
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What Models Prefer to Learn: A Geometric Framing of Architecture and Regularization

Sigurd Roll Solberg
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May 9, 2025

Author(s): Sigurd Roll Solberg Originally published on Towards AI. An adventure through unknown landscapes. By Grok. Intro What does a Neural Network really learn? Every machine learning model, deep or shallow, learns by searching within a “hypothesis space” — the set of …

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