message: API doc fix for keras.preprocessing.image.array_to_img
diff: @@ -48,13 +48,24 @@ load_img = image.load_img
  def array_to_img(x, data_format=None, scale=True, dtype=None):
  """Converts a 3D Numpy array to a PIL Image instance.
  + Usage:
  +
  + >>> img = np.random.random(size=(100, 100, 3))
  + >>> try:
  + ... from PIL import Image
  + ... pil_img = tf.keras.preprocessing.image.array_to_img(img)
  + ... except ImportError:
  + ... pass
  +
  Arguments:
  x: Input Numpy array.
  - data_format: Image data format.
  - either "channels_first" or "channels_last".
  - scale: Whether to rescale image values
  - to be within `[0, 255]`.
  - dtype: Dtype to use.
  + data_format: Image data format, can be either "channels_first" or
  + "channels_last". Defaults to `None`, which gets data format from Keras
  + backend.
  + scale: Whether to rescale image values to be within `[0, 255]`. Defaults
  + to `True`.
  + dtype: Dtype to use. Default to `None`, which gets float type from Keras
  + backend.
  Returns:
  A PIL Image instance.
  