As someone building a deep learning platform as a startup[0], I do training among many other things and some of the trends I have seen in this space are that ma

As someone building a deep learning platform as a startup[0], I do training among many other things and some of the trends I have seen in this space are that many aren't even familiar with what deep learning is good for, let alone why they should use it or where the hype is coming from. If you want a good explanation or 2 about deep learning, I would suggest a recent panel discussion by some people brought together by gigaom (disclaimer I was one of them)[2] as well as Andrew. What most people who try to sell you deep learning won't tell you is how impractical the algorithms can be to use and train. If you need that extra bit of accuracy, make sure you understand what you're getting yourself in to. [0]: http://skymind.io/ http://skymind.io/ [1]: http://gigaom.com/2014/09/22/heres-what-you-missed-at-gigaoms-future-of-ai-meetup/ http://gigaom.com/2014/09/22/heres-what-you-missed-at-gigaom...