class_docstr: Rectified Linear Unit (ReLu) activation function, :math:`f(x) = \max(x, 0)`.
  Can optionally set a slope which will make this a Leaky ReLu.
docstr: Returns the derivative.
  
  Arguments:
      x (Tensor or optree): Input value
  
  Returns:
      Tensor or optree: Derivative
docstr_tok: ["Returns","the","derivative",".","Arguments",":","x","(","Tensor","or","optree",")",":","Input","value","Returns",":","Tensor","or","optree",":","Derivative"]
code: def bprop(self, x, nglayer=None, error=None, deltas=None):
      """
      Returns the derivative.
  
      Arguments:
          x (Tensor or optree): Input value
  
      Returns:
          Tensor or optree: Derivative
      """
      return self.be.bprop_relu(nglayer, x, error, deltas, self.slope)
  
imports: from __future__ import division
  from neon.transforms.transform import Transform
label_desc: Use image node_id 3 for calling the Rectlin obj's underlying member method code with example usage: obj.bprop(x, nglayer, error, deltas) and returns: self