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renamed and updated README
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|-** Generic Artificial Neural Network Framework in Python|
|-This is a general framework for creating neural nets, through the use of script files and case files.|
|-Script files define the neural net you want to create. A case file contains optional training and testing data.|
|-Documentation is non-existent, so take a look at the examples in the annlib/scripts and annlib/cases folders.|
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|+## PyANN - Generic Artificial Neural Network Framework in Python|
|+This is a general framework for creating neural nets, through the use of script files and case files.|
|+Script files define the neural net you want to create, case files contain optional training and testing data.|
|+The framework was written as part of a series of exercises in the course _IT3708 Subsymbolic Methods in AI_ at [NTNU](http://ntnu.no).|
|+For more information, see our [expercise report](PyANN/blob/master/report.pdf?raw=true) describing the framework implementation and how we used it to train a ANN [webots](http://www.cyberbotics.com/overview) controller.|
|+We haven't bothered to write any user documentation, so take instead a look at the examples in the `annlib/scripts` and `annlib/cases` folders.|
|+The framework's only dependency should be the python `yaml` package.|