Translations:Softmax Function/10/en: Difference between revisions

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    As the gap between the largest {{Term|logits|logit}} and the others increases, the output approaches a {{Term|one-hot encoding|one-hot}} vector. This "winner-take-most" behavior makes softmax well-suited for classification where a single class should dominate.
    As the gap between the largest logit and the others increases, the output approaches a one-hot vector. This "winner-take-most" behavior makes softmax well-suited for classification where a single class should dominate.

    Revision as of 22:02, 27 April 2026

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    Message definition (Softmax Function)
    As the gap between the largest {{Term|logits|logit}} and the others increases, the output approaches a {{Term|one-hot encoding|one-hot}} vector. This "winner-take-most" behavior makes softmax well-suited for classification where a single class should dominate.

    As the gap between the largest logit and the others increases, the output approaches a one-hot vector. This "winner-take-most" behavior makes softmax well-suited for classification where a single class should dominate.

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