there is huge with being done right now on the theoretical backing of deep learning. classical machine learning has huge, sound theoretical backing. scaling w

there is huge with being done right now on the theoretical backing of deep learning. classical machine learning has huge, sound theoretical backing. scaling well is extremely important, and is the main advantage of deep learning. as planes don't need a bird's feathers to be useful, deep learning is already way sufficiently successful enough to justify their use. no one serious claims that deep nets are biologically possible. they are still promising, and useful, powering translation, phone keyboard autocomplete, search, camera stuff like low light mode and cell phone portait mode, medical imaging diagnosis, malware detection, new planet detection in astronomy, plasma modeling in energy engineering, etc