parameters: (x, scale=1.0507009873554804934193349852946, alpha=1.6732632423543772848170429916717, name='')
return_statement: return selu(x, scale, alpha, name)
docstring: Scaled exponential linear unit operation. Computes the element-wise exponential linear
      of ``x``: ``scale * x`` for ``x >= 0`` and ``x``: ``scale * alpha * (exp(x)-1)`` otherwise.
  
      The output tensor has the same shape as ``x``.
  
      Example:
          >>> C.selu([[-1, -0.5, 0, 1, 2]]).eval()
          array([[-1.111331, -0.691758,  0.      ,  1.050701,  2.101402]], dtype=float32)
  
      Args:
          x (`numpy.array` or :class:`~cntk.ops.functions.Function`): any :class:`~cntk.ops.functions.Function` that outputs a tensor.
          name (`str`, default to ''): the name of the Function instance in the network
  
      Returns:
          cntk.ops.functions.Function:
          An instance of :class:`~cntk.ops.functions.Function`
docstring_summary: Scaled exponential linear unit operation. Computes the element-wise exponential linear
      of ``x``: ``scale * x`` for ``x >= 0`` and ``x``: ``scale * alpha * (exp(x)-1)`` otherwise.
docstring_tokens: Scaled exponential linear unit operation . Computes the element - wise exponential linear of x : scale * x for x > = 0 and x : scale * alpha * ( exp ( x ) - 1 ) otherwise .
function: def selu(x, scale=1.0507009873554804934193349852946, alpha=1.6732632423543772848170429916717, name=''):
      '''
      Scaled exponential linear unit operation. Computes the element-wise exponential linear
      of ``x``: ``scale * x`` for ``x >= 0`` and ``x``: ``scale * alpha * (exp(x)-1)`` otherwise.
  
      The output tensor has the same shape as ``x``.
  
      Example:
          >>> C.selu([[-1, -0.5, 0, 1, 2]]).eval()
          array([[-1.111331, -0.691758,  0.      ,  1.050701,  2.101402]], dtype=float32)
  
      Args:
          x (`numpy.array` or :class:`~cntk.ops.functions.Function`): any :class:`~cntk.ops.functions.Function` that outputs a tensor.
          name (`str`, default to ''): the name of the Function instance in the network
  
      Returns:
          cntk.ops.functions.Function:
          An instance of :class:`~cntk.ops.functions.Function`
      '''
      from cntk.cntk_py import selu
      x = sanitize_input(x)
      return selu(x, scale, alpha, name)
function_tokens: def selu ( x , scale = 1.0507009873554804934193349852946 , alpha = 1.6732632423543772848170429916717 , name = '' ) : from cntk . cntk_py import selu x = sanitize_input ( x ) return selu ( x , scale , alpha , name )