message: remove duplicated documentation
diff: @@ -767,14 +767,6 @@ class RandomRotation(PreprocessingLayer):
  At inference time, the layer does nothing. If you need to apply random
  rotations at inference time, set `training` to True when calling the layer.
  - Input shape:
  - 4D tensor with shape:
  - `(samples, height, width, channels)`, data_format='channels_last'.
  -
  - Output shape:
  - 4D tensor with shape:
  - `(samples, height, width, channels)`, data_format='channels_last'.
  -
  Attributes:
  factor: a float represented as fraction of 2pi, or a tuple of size
  2 representing lower and upper bound for rotating clockwise and
  