message: Added doc in MobileNet for decode_predictions() and preprocess_input()
diff: @@ -436,9 +436,31 @@ def _depthwise_conv_block(inputs,
  @keras_export('keras.applications.mobilenet.preprocess_input')
  def preprocess_input(x, data_format=None):
  + """Preprocesses a numpy array encoding a batch of images.
  +
  + Arguments
  + x: A 4D numpy array consists of RGB values within [0, 255].
  +
  + Returns
  + Preprocessed array.
  + """
  return imagenet_utils.preprocess_input(x, data_format=data_format, mode='tf')
  @keras_export('keras.applications.mobilenet.decode_predictions')
  def decode_predictions(preds, top=5):
  + """Decodes the prediction result from the model.
  +
  + Arguments
  + preds: Numpy tensor encoding a batch of predictions.
  + top: Integer, how many top-guesses to return.
  +
  + Returns
  + A list of lists of top class prediction tuples
  + `(class_name, class_description, score)`.
  + One list of tuples per sample in batch input.
  +
  + Raises
  + ValueError: In case of invalid shape of the `preds` array (must be 2D).
  + """
  return imagenet_utils.decode_predictions(preds, top=top)
  