Python implementation of various machine learning techniques with a feed forward neural network

##Features

• nnet class provides basic structure and accessor methods for a generic feed-forward Neural Network. (completed)
• geneticAlg class implements a genetic algorithim for the nnet class, based on ai-junkie's C++ implementation. (partially implemented)
• neat class is an implementation of the GE decribed in the NEAT Paper, again using the nnet class. (partially implemented)

##Dependencies Implementation

• numpy -- For matrix math
• sklearn -- For test datasets
• matplotlib -- Not really nessessary, mainly to visualize test datasets nicely
• ad -- For easy differentiation

Testing

• nose
• coveralls