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

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    随着最大 logit 与其他 logits 之间的差距增大,输出会趋近于一个 one-hot 向量。这种"赢者通吃"的行为使 softmax 非常适合单一类别应占主导地位的分类任务。
    随着最大 {{Term|logits|logit}} 与其他值之间差距的增大,输出趋近于 {{Term|one-hot encoding|one-hot}} 向量。这种「赢家通吃」的行为使 softmax 非常适合单一类别应占主导地位的分类任务。

    Latest revision as of 23:41, 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.

    随着最大 logit 与其他值之间差距的增大,输出趋近于 one-hot 向量。这种「赢家通吃」的行为使 softmax 非常适合单一类别应占主导地位的分类任务。