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Softmax Function

Exponentiates a vector of scores and normalizes them to sum to 1, turning arbitrary logits into a probability distribution while preserving order. Subtracting the max score first keeps the exponentials numerically stable.

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Softmax Function Explained In Depth with 3D Visuals

The Softmax function operates on a vector of real-valued logits to map them into a probability distribution over discrete classes by normalizing exponential transformations such that the sum equals u…