they're very powerful calssificators and from the outside it seems they can learn to distinguish between arbitrarily complex states. more states? add neurons!

they're very powerful calssificators and from the outside it seems they can learn to distinguish between arbitrarily complex states. more states? add neurons! more search space? add layers! except they have unpredictable resonances, especially multi-layer networks: http://www.i-programmer.info/news/105-artificial-intelligence/8064-the-deep-flaw-in-all-neural-networks.html http://www.i-programmer.info/news/105-artificial-intelligenc... they're just starting to understand this, but I believe the myth of the 'do it all dnn' is gonna die. it's time to start thinking about cluster of independent neural network, supervising each an independent aspect of the search space and/or each other.