4 ms·

Hmm, I think the difficulty would then be how you train the neural network, I'm not sure that'd be an easy task. I think you'd have to apply a fair amount of p

• sjtgraham 13y ago
  I think the difficulty is in the computing power required to train the net, but there has been some progress in that area lately http://techblog.netflix.com/2014/02/distributed-neural-networks-with-gpus.html http://techblog.netflix.com/2014/02/distributed-neural-netwo...
  • vonnik 13y ago
    You're both right. There are challenges in training a deep-learning neural network, and that training requires a lot of processing power. We open sourced a pretty cool standalone machine in Java that addresses those issues about a week ago. Looking for feedback... http://deeplearning4j.org http://deeplearning4j.org
    • agibsonccc 13y ago
      DeepLearning4j author here. I'd just like to add that despite training neural networks being hard, they are great for understanding data if trained right. There are a lot of innovations in image processing wrt neural nets specifically. The right neural network can learn everything from scene detection to simple object recognition. I would highly reccommend taking a look at the neural nets course on coursera to understand some of the use cases.