Code and examples here
Network can be created and trained as for example
W= NeuralNet(X,y,HL,Iterations,alpha,verbose);
% For 2 hidden layers with 5 and 3 neurons, 500 iteration and 0.1 alpha(learning rate)
% input and output layers are chosen according to data X,y provided
W= NeuralNet(X,y,[5,3],500,0.1,1);
% for 8 hidden layers
W= NeuralNet(X,y,[15,10,10,10,5,5,5,3],100,0.1,1);
returns weights W of each layer
