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

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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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	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:		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: