(self, y)
return self.bprop_func(y)
Returns the derivative of the logistic (sigmoid) function at y (output)

        Args:
            y (Tensor or OpTree): input. y = f(x)

        Returns:
            OpTree: Derivative of the Logistic (sigmoid)
                    Returns 1 if shortcut is True.
                    Returns derivative (y*(1-y)) if shortcut is False.
def bprop(self, y):
        """

        Returns the derivative of the logistic (sigmoid) function at y (output)

        Args:
            y (Tensor or OpTree): input. y = f(x)

        Returns:
            OpTree: Derivative of the Logistic (sigmoid)
                    Returns 1 if shortcut is True.
                    Returns derivative (y*(1-y)) if shortcut is False.

        """
        return self.bprop_func(y)
def bprop ( self , y ) : return self . bprop_func ( y )