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| --- |
| layout: default |
| title: Neural Network |
| |
| |
| --- |
| |
| <a name="NeuralNetwork-NeuralNetworks"></a> |
| # Neural Networks |
| |
| Neural Networks are a means for classifying multi dimensional objects. We |
| concentrate on implementing back propagation networks with one hidden layer |
| as these networks have been covered by the [2006 NIPS map reduce paper](http://www.cs.stanford.edu/people/ang/papers/nips06-mapreducemulticore.pdf) |
| . Those networks are capable of learning not only linear separating hyper |
| planes but arbitrary decision boundaries. |
| |
| <a name="NeuralNetwork-Strategyforparallelbackpropagationnetwork"></a> |
| ## Strategy for parallel backpropagation network |
| |
| |
| <a name="NeuralNetwork-Designofimplementation"></a> |
| ## Design of implementation |
