class_docstr: Hyperbolic tangent activation function, :math:`f(x) = \tanh(x)`.
docstr: Returns the derivative.
  
  Arguments:
      x (Tensor or optree): Input value
  
  Returns:
      Tensor or optree: Derivative, :math:`1-x^2`
docstr_tok: ["Returns","the","derivative",".","Arguments",":","x","(","Tensor","or","optree",")",":","Input","value","Returns",":","Tensor","or","optree",":","Derivative",",",":","math",":","`","1-x^2","`"]
code: def bprop(self, x):
      """
      Returns the derivative.
  
      Arguments:
          x (Tensor or optree): Input value
  
      Returns:
          Tensor or optree: Derivative, :math:`1-x^2`
      """
      return 1.0 - self.be.square(x)
  
imports: from __future__ import division
  from neon.transforms.transform import Transform
label_desc: Use image node_id 3 for calling the Tanh obj's underlying member method code with example usage: obj.bprop(x) and returns: unknown