Sigmoid Function
/ˈsɪɡmɔɪd/
An activation function that maps inputs to values between 0 and 1: f(x) = 1/(1 + e^(-x)).
In italiano: Funzione SigmoideSigmoid is used for binary classification output layers and was historically popular for hidden layers. However, it suffers from vanishing gradient problems in deep networks.
Examples
- Binary classification output
- Logistic regression
- Gate mechanisms in LSTM