Softmax Function in Python

softmax function

The Softmax function The Softmax function is usually used in classification problems such as neural networks and multinomial logistic regression, this is just generalisation of the logistic function: f(x) = 1/(1 + e^(-k(z-z0))) The output of the Softmax is used as

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