Using genetic algorithms to train neural networks for the XOR gate problem
pip3 install -r requirements.txt
python3 main.py
- 2 neurons
- 16 neurons
- ReLU Activation
- 1 neuron
- Sigmoid Activation
- Selection by Tournament(size=3)
- Gaussian Mutation(mean=0, stddev=1, gene_prob=0.3)
- TwoPoint Crossover(prob=0.01)
- iterations=5