Thinking in Geometric Terms: What ReLU, LayerNorm, LoRA and VQ Do to the Data Space

techNmak · x · 2026-10-01

A useful ML habit: ask what a piece of math does to the space the data lives in. Many concepts have concrete geometric interpretations hidden behind equations and architecture diagrams.

None of these is a variant of the others, but the same vocabulary — spaces, dimensions, regions, distances, rank, constraints — explains them all, often revealing more than the architecture diagram alone.

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