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
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Editorial Note
MyCalcBuddy Editorial Team
This page is maintained as an educational calculator reference.
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Formula Source: Standard Mathematical References
by Various
🔄Last reviewed: May 2026
✓Formula checks are based on standard references and internal QA review.