added clarifying statement to save_model
Added a note that model.save() is an alias for keras.models.save_model() to clarify that the example above is to demonstrate save_model().
@@ -59,6 +59,8 @@ def save_model(model,
>>> x = tf.random.uniform((10, 3))
>>> assert np.allclose(model.predict(x), loaded_model.predict(x))
+ Note that `model.save()` is an alias for `tf.keras.models.save_model()`.
+
The SavedModel and HDF5 file contains:
- the model's configuration (topology)
