Our RNN model, once trained, will be able to map any new ingredient and product category (their text descriptions) into vectors, and make a binary prediction of whether the two go together.
training the model takes considerable time and cannot be easily adjusted in the face of new evidence, e.g., a few positive and negative categories for a previously unseen ingredient.