Well, we have to do apples-to-apples comparisons. Logic/probability models can obviously solve any problems deep learning can (worst-case one can implement a deep learner in the logic system), but not if a human is hand-coding the whole structure. Dynamic generation is a necessary piece for logic/probability to solve the same problems deep learning methods solve.
Well, we have to do apples-to-apples comparisons. Logic/probability models can obviously solve any problems deep learning can (worst-case one can implement a deep learner in the logic system), but not if a human is hand-coding the whole structure. Dynamic generation is a necessary piece for logic/probability to solve the same problems deep learning methods solve.