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

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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.

这就是为什么二分类器通常使用带有 sigmoid 激活函数的单个输出神经元，而不是使用 softmax 的两个神经元——它们在数学上是等价的。

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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。		这就是为什么二分类器通常使用带有 sigmoid {{Term\|activation function\|激活函数}}的单个输出神经元，而不是使用 softmax 的两个神经元——它们在数学上是等价的。