Genetic Neural Network Trainer

This project shows an example of training a Multilayer Perceptron network with genetic algorithms.

The project's directory structure:

data/ - various data used for testing
- data/mnist/ - dataset for handwritten digit recognition
- data/models/ - models saved after training
gui/ - graphical user interface implemented using QT
include/ - main directory with the implementation
- include/gnnt/mlp/ - compile-time Multilayer Perceptron network
- include/gnnt/training/ - genetic algorithm implementation
test/ - test cases for activation functions with the Catch2 framework

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