# netket.nn.activation.reim_selu#

netket.nn.activation.reim_selu()#

selu applied separately to the real andimaginary parts of it’s input.

The docstring to the original function follows.

Scaled exponential linear unit activation.

Computes the element-wise function:

$\begin{split}\mathrm{selu}(x) = \lambda \begin{cases} x, & x > 0\\ \alpha e^x - \alpha, & x \le 0 \end{cases}\end{split}$

where $$\lambda = 1.0507009873554804934193349852946$$ and $$\alpha = 1.6732632423543772848170429916717$$.

For more information, see Self-Normalizing Neural Networks.

Args:

x : input array

Return type

Any