parameters: (x, name='')
return_statement: return sigmoid(x, name)
docstring: Computes the element-wise sigmoid of ``x``:
  
      :math:`sigmoid(x) = {1 \\over {1+\\exp(-x)}}`
  
      The output tensor has the same shape as ``x``.
  
      Example:
          >>> C.sigmoid([-2, -1., 0., 1., 2.]).eval()
          array([ 0.119203,  0.268941,  0.5     ,  0.731059,  0.880797], dtype=float32)
  
      Args:
          x: numpy array or any :class:`~cntk.ops.functions.Function` that outputs a tensor
          name (str, optional): the name of the Function instance in the network
      Returns:
          :class:`~cntk.ops.functions.Function`
docstring_summary: Computes the element-wise sigmoid of ``x``:
docstring_tokens: Computes the element - wise sigmoid of x :
function: def sigmoid(x, name=''):
      '''
      Computes the element-wise sigmoid of ``x``:
  
      :math:`sigmoid(x) = {1 \\over {1+\\exp(-x)}}`
  
      The output tensor has the same shape as ``x``.
  
      Example:
          >>> C.sigmoid([-2, -1., 0., 1., 2.]).eval()
          array([ 0.119203,  0.268941,  0.5     ,  0.731059,  0.880797], dtype=float32)
  
      Args:
          x: numpy array or any :class:`~cntk.ops.functions.Function` that outputs a tensor
          name (str, optional): the name of the Function instance in the network
      Returns:
          :class:`~cntk.ops.functions.Function`
      '''
      from cntk.cntk_py import sigmoid
      x = sanitize_input(x)
      return sigmoid(x, name)
function_tokens: def sigmoid ( x , name = '' ) : from cntk . cntk_py import sigmoid x = sanitize_input ( x ) return sigmoid ( x , name )