scipy.special.
softplus#
- scipy.special.softplus(x, **kwargs)[source]#
- Compute the softplus function element-wise. - The softplus function is defined as: - softplus(x) = log(1 + exp(x)). It is a smooth approximation of the rectifier function (ReLU).- Parameters:
- xarray_like
- Input value. 
- **kwargs
- For other keyword-only arguments, see the ufunc docs. 
 
- Returns:
- softplusndarray
- Logarithm of - exp(0) + exp(x).
 
 - Examples - >>> from scipy import special - >>> special.softplus(0) 0.6931471805599453 - >>> special.softplus([-1, 0, 1]) array([0.31326169, 0.69314718, 1.31326169])