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neataptic

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Architecture-free neural network library with genetic algorithm implementations

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In order to get you started on Neataptic, a few tutorials have been written that give a basic overview on how to create, train and evolve your networks. It is recommended to read all of them before you start digging in your own project. * [Training](training.md) * [Evolution](evolution.md) * [Normalization](normalization.md) * [Visualization](visualization.md) If you have any questions, feel free to create an issue [here](https://github.com/wagenaartje/neataptic/issues). If you feel like anything is missing, feel free to create a pull request!