Translations:Softmax Function/23/zh: Difference between revisions

Revision as of 22:04, 27 April 2026

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Message definition (Softmax Function)

This is why binary classifiers typically use a single output neuron with a sigmoid {{Term|activation function|activation}} rather than two neurons with softmax — they are mathematically equivalent.

这就是为什么二元分类器通常使用带 sigmoid 激活的单个输出神经元，而不是带 softmax 的两个神经元——二者在数学上是等价的。

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	~~这就是为什么二分类器通常使用带有~~ sigmoid ~~激活的单个输出神经元，而不是带有~~ softmax ~~的两个神经元——它们在数学上是等价的。~~		这就是为什么二元分类器通常使用带 sigmoid 激活的单个输出神经元，而不是带 softmax 的两个神经元——二者在数学上是等价的。