I'm not even sure Deep Learning is at the level where a title like "The Complete Guide" could make sense. Deep Learning involves harnessing advanced, highly co

I'm not even sure Deep Learning is at the level where a title like "The Complete Guide" could make sense. Deep Learning involves harnessing advanced, highly complex and rather ad-hoc algorithm to engage in systematic-but-heuristic prediction. A complete guide would include all natural prerequisites, the common approaches, the best practices and the areas of application. But all of these are in flux as the field races ahead. Moreover, the field still needs "artists", practitioners who can figure out the black-art of training networks. So whatever it's virtues, the field today seems incomplete to me.