Neural Network that learns to output two random numbers given two random input numbers. Network with two input neurons, two hidden neurons with bias .35, and two output neurons with bias 0.6. Along with a dynamic learning rate. Learning stops once error is less than 1x10^-13. This project uses calculations that only work for the 2 by 2 by 2 network so I can't change the code to work with all combinations. But if you want to give it a try, remix this project! Should be a good challenge. Article that helped to build this : https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/ All code by @GreatGameDota . #neural #network #ai #algorithm #backpropagation
