In the Tensorflow ML Basics with Keras tutorial for making a basic text classification, when preparing the trained model for export, the tutorial suggests including the... moreIn the Tensorflow ML Basics with Keras tutorial for making a basic text classification, when preparing the trained model for export, the tutorial suggests including the TextVectorization layer into the Model so it can "process raw strings". I understand why to do this.
But then the code snippet is:
export_model = tf.keras.Sequential()
Why when preparing the model for export, does the tutorial also include a new activation layer layers.Activation('sigmoid')? Why not incorporate this layer into the original model? less