This project demonstrates using an artificial neural network to recoginize handwritten digits. The method of network training used is backpropagation with momentum, and the node activation function used is the sigmoid function. The network is made up of three layers: the input layer, a hidden layer, and the output layer.
For now this website is just a small collection of personal projects or things that I worked on for school. This is not a portfolio of any kind and is for your viewing pleasure only. Anything school related probably will not include source material for obvious reasons, please don't ask.