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神经网络中的激活函数
激活函数通过引入非线性,使神经网络能够学习复杂的关系和模式,在神经网络中发挥着至关重要的作用。以下是一些常用的激活函数: Sigmoid 函数 (Logistic): sigmoid 函数具有 S 形曲线,由以下公式定义: sigma(x) = 1/ ...
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