Deep Learning flaws
* The systems needs 10,000+ examples to learn a concept like cows. Humans only need a handful of examples
* Deep Learning cannot explain how the systems got an answer
* Deep Learning lacks common sense. This makes the systems fragile and when errors are made, the errors can be very large.

There is a growing feeling in the field that deep learning's shortcomings require some fundamentally new ideas.