(self, learning_rate, epoch)
return float(learning_rate / (1. + self.decay * epoch))
Returns the current learning rate given the epoch and initial learning rate.

        Arguments:
            learning_rate (float): Initial learning rate
            epoch (int): Current epoch, used to calculate the adjusted learning rate.

        Returns:
            (float): The adjusted learning rate.
Returns the current learning rate given the epoch and initial learning rate.
Returns the current learning rate given the epoch and initial learning rate .
def get_learning_rate(self, learning_rate, epoch):
        """
        Returns the current learning rate given the epoch and initial learning rate.

        Arguments:
            learning_rate (float): Initial learning rate
            epoch (int): Current epoch, used to calculate the adjusted learning rate.

        Returns:
            (float): The adjusted learning rate.
        """
        return float(learning_rate / (1. + self.decay * epoch))
def get_learning_rate ( self , learning_rate , epoch ) : return float ( learning_rate / ( 1. + self . decay * epoch ) )