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A neural network doesn't have one slope to follow — it has millions, all at once. Stacked together, they form the gradient: the single vector that tells a billion-parameter model exactly how to improve. Part 6 of "Math for ML in 60 Seconds" — a 13-part series covering every math & stats concept ML/AI students actually need: vectors → ...
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