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])