message: changed descriptions
diff: @@ -1619,9 +1619,10 @@ name=None))
  >>> list(d.as_numpy_iterator())
  [b'HELLO', b'WORLD']
  - 3) Use `tf.numpy_function`, which allows you to write arbitrary python
  - code. Note here that `tf.py_function` accepts `tf.Tensor` whereas
  - `tf.numpy_function` accepts numpy arrays. For example:
  + 3) Use `tf.numpy_function`, which also allows you to write arbitrary
  + Python code. Note here that `tf.py_function` accepts `tf.Tensor` whereas
  + `tf.numpy_function` accepts numpy arrays and returns only numpy arrays.
  + For example:
  >>> d = tf.data.Dataset.from_tensor_slices(['hello', 'world'])
  >>> def upper_case_fn(t: np.ndarray):
  