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Natural Gradients: Why Steepest Descent Depends on the Geometry You Choose

Gradient descent looks like a purely mechanical rule: follow the negative gradient downhill. But hidden inside that rule is a geometric assumption so familiar that it is easy to miss. When you take a step of a fixed size in parameter space, you are implicitly deciding what "a small step" means. Cha…

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  1. 2026-10-25 12:06 · DEV Community — Machine Learning
    Natural Gradients: Why Steepest Descent Depends on the Geometry You Choose

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