Genetic-Neural-Network Check out for cool projects about drones and AI Training a Neural Network using Genetic Algorithm. Here are the results obtained after training a neural net with both backpropagation and Genetic programming. Trained using GP (on the training set): Trained using GP (Performance on the test set): Trained using Backprop (on the training set): Trained using Backprop (Performance on the test set): Stats: The GP approach: Loss/Cost (on training set) after 1000 generations: 0.2231 Training Set Accuracy: 90.24% Test set Accuracy: 91.25% The Backpropagation approach: Loss/Cost (on training set) after 1000 epochs: 0.2528 Training Set Accuracy: 90.00% Test set Accuracy: 89.62%
