A strange thing about deep learning, is that sometimes you're creating a model that generalizes beyond a particular domain. You might be tuning parameters to improve computer-vision and your tuned solution happens to also outperform the original at translation or partial-knowledge navigation. And your goal may very well be to create something that behaves well under all of those domains, while only having any real domain knowledge in a few of them.