Translations:Softmax Function/14/en: Difference between revisions

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Message definition (Softmax Function)

* <math>T \to 0</math>: The distribution collapses to a {{Term|one-hot encoding|one-hot}} vector selecting the argmax — equivalent to a hard decision.
* <math>T = 1</math>: Standard softmax.
* <math>T \to \infty</math>: The distribution approaches uniform — all classes become equally likely.

$T \to 0$ : The distribution collapses to a one-hot vector selecting the argmax — equivalent to a hard decision.
$$ T = 1 $$ : Standard softmax.
$T \to \infty$ : The distribution approaches uniform — all classes become equally likely.

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