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mlp-from-scratch

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msmrexe / interpretable-neural-basis-decomposition

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A mechanistic interpretability framework visualizing the Universal Approximation Theorem. It deconstructs Neural Networks into weighted ReLU basis functions to reveal how models construct complex non-linear topologies from piecewise linear segments.

machine-learning topology numpy university-project pytorch decomposition course-project optimization-algorithms interpretability adam-optimizer momentum-strategy manifold-visualization universal-approximation-theorem adaptive-moment-estimation mechanistic-interpretability mlp-from-scratch
  • Updated Nov 20, 2025
  • Python

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