message: Small update to the documentation of lambda layers.
diff: @@ -756,13 +756,15 @@ class RepeatVector(Layer):
  class Lambda(Layer):
  """Wraps arbitrary expressions as a `Layer` object.
  - The `Lambda` layer exists so that arbitrary TensorFlow functions
  - can be used when constructing `Sequential` and Functional API
  - models. `Lambda` layers are best suited for simple operations or
  - quick experimentation. For more advanced use cases, follow
  + The `Lambda` layer exists so that arbitrary expressions can be used
  + as a `Layer` when constructing `Sequential`
  + and Functional API models. `Lambda` layers are best suited for simple
  + operations or quick experimentation. For more advanced use cases, follow
  [this guide](https://www.tensorflow.org/guide/keras/custom_layers_and_models)
  for subclassing `tf.keras.layers.Layer`.
  + WARNING: `tf.keras.layers.Lambda` layers have (de)serialization limitations!
  +
  The main reason to subclass `tf.keras.layers.Layer` instead of using a
  `Lambda` layer is saving and inspecting a Model. `Lambda` layers
  are saved by serializing the Python bytecode, which is fundamentally
  