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neataptic

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Architecture-free neural network library with genetic algorithm implementations

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There are **a lot** of different methods for everything in Neataptic. This allows the complete customization of your networks and algorithms. If you feel like any method or function should be added, feel free to create an issue or a pull request. * [Activation](activation.md) * [Cost](cost.md) * [Gating](gating.md) * [Mutation](mutation.md) * [Regularization](regularization.md) * [Selection](selection.md)