Great job! Technically, this is a supervised learning NN library that implements the canonical backprop algorithm. Also looks like all networks are feed-forwar

Great job! Technically, this is a supervised learning NN library that implements the canonical backprop algorithm. Also looks like all networks are feed-forward and fully connected, with neurons activated using a sigmoid function (1 / [1+e^-ab]). Appears that cross-validation is used as well, but I haven't looked into how or which kind. You probably want to add momentum or some other form of local optima escape/avoidance mechanism.