When attempting to add hub.KerasLayer to a tf.keras.Sequential model, TensorFlow raises a ValueError, stating that only instances of keras.Layer can be added. However, hub.KerasLayer is a subclass of keras.Layer, so this behavior seems unexpected. I expected hub.KerasLayer to be accepted as a valid layer in the tf.keras.Sequential model, as per the TensorFlow documentation.