parameters: (x)
return_statement: return scale * K.elu(x, alpha)
docstring: Scaled Exponential Linear Unit. (Klambauer et al., 2017).
  
    Arguments:
        x: A tensor or variable to compute the activation function for.
  
    Returns:
      Tensor with the same shape and dtype as `x`.
  
    References:
        - [Self-Normalizing Neural Networks](https://arxiv.org/abs/1706.02515)
docstring_summary: Scaled Exponential Linear Unit. (Klambauer et al., 2017).
docstring_tokens: Scaled Exponential Linear Unit . ( Klambauer et al . 2017 ) .
function: def selu(x):
    """Scaled Exponential Linear Unit. (Klambauer et al., 2017).
  
    Arguments:
        x: A tensor or variable to compute the activation function for.
  
    Returns:
      Tensor with the same shape and dtype as `x`.
  
    References:
        - [Self-Normalizing Neural Networks](https://arxiv.org/abs/1706.02515)
    """
    alpha = 1.6732632423543772848170429916717
    scale = 1.0507009873554804934193349852946
    return scale * K.elu(x, alpha)
function_tokens: def selu ( x ) : alpha = 1.6732632423543772848170429916717 scale = 1.0507009873554804934193349852946 return scale * K . elu ( x , alpha )