Deep Learning for IoT : Is there a shallow end of the pool? IoTPractitioner.com The IoT Portal Platform

Deep Learning is thus far a tale of two stories. The more publicized story is one of its step change performance that has astounded even longer-term term practitioners in the field. In trend prediction in IoT, and in face recognition and visual classification, Deep Learning hasn't beaten the competition so much as crushed it. The dark side of Deep Learning is the lack of a'shallow end of the pool' for IoT big data practitioners intending to dip their toes into it as an addition to their predictive analytics toolbox. Even a tentative foray into Deep Learning involves choosing between rapidly evolving (and competing) frameworks, and making non-trivial design choices (data sufficiency, data augmentation, network topology, guards against too slow or too fast learning rates to name a few) that are more art than science.