Invalid value (rate) received for `rate`, expected a value between 0 and 1.

Raise code

""" aining: Python boolean indicating whether the layer should behave in
      training mode (adding dropout) or in inference mode (doing nothing).
  """

  def __init__(self, rate, noise_shape=None, seed=None, **kwargs):
    super(Dropout, self).__init__(**kwargs)
    if isinstance(rate, (int, float)) and not 0 <= rate <= 1:
      raise ValueError(f'Invalid value {rate} received for '
                       f'`rate`, expected a value between 0 and 1.')
    self.rate = rate
    if isinstance(rate, (int, float)) and not rate:
      keras_temporary_dropout_rate.get_cell().set(True)
    else:
      keras_temporary_dropout_rate.get_cell().set(False)
    self.noise_shape = noise_shape
    se