Still, deep learning has done nothing more than classification right now. What about predictive distributions, regression of complicated outputs...
http://homepages.inf.ed.ac.uk/imurray2/pub/12deepai/ has predictive distributions from deep learning, passed on to time-series smoothing for articulatory inversion. It's a previous neural net approach made deep, and working better as a result.
(I agree that like any machine learning framework, neural networks have their strengths and weaknesses, and open challenges.)
http://homepages.inf.ed.ac.uk/imurray2/pub/12deepai/ has predictive distributions from deep learning, passed on to time-series smoothing for articulatory inversion. It's a previous neural net approach made deep, and working better as a result.
(I agree that like any machine learning framework, neural networks have their strengths and weaknesses, and open challenges.)