Activation Function Calculator
Compute outputs and derivatives for neural network activation functions.
Function Parameters
Note: Derivatives are useful for backpropagation during training.
Output f(0.5)
0.622459
Range: (0, 1)
Derivative f'(x)
0.235004
Input
0.5
Function Details
Formula
f(x) = 1 / (1 + e^(-x))
Description
Smooth, differentiable function that squashes values between 0 and 1