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A function that maps logistic or multinomial regression output (log odds) to probabilities, returning a value between 0 and 1. The sigmoid function has the following formula:
where $\sigma$ in logistic regression problems is simply:
In other words, the sigmoid function converts
into a probability between 0 and 1.
In some neural networks, the sigmoid function acts as the activation function.