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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/201
by 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 agoYou'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 agoDeepLearning4j 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.