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

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    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:
    The softmax function amplifies differences between logits. A 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:

    Revision as of 22:02, 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:

    The softmax function amplifies differences between logits. A 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:

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