Translations:Softmax Function/8/zh: Difference between revisions

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    softmax 函数会放大 logits 之间的差异。比其同类更大的 logit 会获得不成比例的大量概率质量,因为指数函数以超线性方式增长。例如:
    softmax 函数会放大 {{Term|logits}} 之间的差异。大于其他值的 {{Term|logits|logit}} 由于指数函数呈超线性增长而获得不成比例的概率质量份额。例如:

    Latest revision as of 23:41, 27 April 2026

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    Message definition (Softmax Function)
    The softmax function amplifies differences between {{Term|logits}}. A {{Term|logits|logit}} that is larger than its peers receives a disproportionately large share of the probability mass because the exponential function grows super-linearly. For example:

    softmax 函数会放大 logits 之间的差异。大于其他值的 logit 由于指数函数呈超线性增长而获得不成比例的概率质量份额。例如: