Can I use hadoop to train a neutral network?

I want t开发者_如何学Pythono train a neural network with the help of Hadoop. We know when training a neural network, weights to each neuron are altered every iteration, and each iteration depends on the previous. I'm new to Hadoop and don't quite familiar with features it provides. Can I chaining the iteration with the help of method addDependingJob() emphasizing the dependences? Or there's other tricks can be used to implement the NN with help of Hadoop.

Any advice will be highly appreciated.

Thanks and Best Regards.

You can write it by youself. If you know how to write Bacvk propogation in single core from scratch. It can be easily migrated to Mapreduce approach. HDFS cache should store current neuron weights and each map job should evaluate their update upon training instance and then reduce should sum all this updates and put them to cachce.