As someone who hasn't really done much deep learning, I've always wondered if the work itself is fullfilling or if it is just the fact that there is absurbly cool outcomes? The math isn't super complex, it seems the majority of the effort is data cleaning and tuning. Is it just a massive labor of love? I also worry that the labor itself doesn't build on itself and becomes obsolete knowledge like a web framework.