message: Updated maximum layer
  Added an example and Raises as well as updated docstring and Arguments. This will take care of this issue
diff: @@ -646,14 +646,31 @@ def average(inputs, **kwargs):
  @keras_export('keras.layers.maximum')
  def maximum(inputs, **kwargs):
  - """Functional interface to the `Maximum` layer.
  + """Functional interface to the `Maximum` layer that computes
  + the maximum (element-wise) list of `inputs`.
  +
  + For example:
  +
  + ```python
  + input1 = tf.keras.layers.Input(shape=(16,))
  + x1 = tf.keras.layers.Dense(8, activation='relu')(input1) #shape=(None, 8)
  + input2 = tf.keras.layers.Input(shape=(32,))
  + x2 = tf.keras.layers.Dense(8, activation='relu')(input2) #shape=(None, 8)
  + max_inp=tf.keras.layers.maximum([x1,x2]) #shape=(None, 8)
  + out = tf.keras.layers.Dense(4)(max_inp)
  + model = tf.keras.models.Model(inputs=[input1, input2], outputs=out)
  + ```
  Arguments:
  - inputs: A list of input tensors (at least 2).
  + inputs: A list of input tensors (at least 2) of same shape.
  **kwargs: Standard layer keyword arguments.
  Returns:
  - A tensor, the element-wise maximum of the inputs.
  + A tensor (of same shape as input tensor) with the element-wise
  + maximum of the inputs.
  +
  + Raises:
  + ValueError: If input tensors are of different shape.
  """
  return Maximum(**kwargs)(inputs)
  