Deep learning methods are attractive mainly because they need less manual interference. We do not need to craft the right features or the suitable transformations. Once we have data—and nowadays we have “big” data—and sufficient computation available—and nowadays we have data centers with thousands of processors—we just wait and let the learning algorithm discover all that is necessary by itself.
