I) My research involves biological data (protein-protein interactions) and my datasets are tiny (about 30K high-confidence samples). We have to regularize aggressively and use a pretty tiny network to get something that doesn't over-fit horrendously.

II) We want to accommodate many inferences (10^3 to 10^12) inferences on a personal desktop or cheap OVH server in little time so we can serve the model on an online portal.