images = loadMNISTImages('train-images.idx3-ubyte');
labels = loadMNISTLabels('train-labels.idx1-ubyte');
labels = labels';
labels(labels==0)=10;
labels=dummyvar(labels)';
x=images;
t=labels;
[~,n]=size(x);
net = patternnet(2);
net = configure(net,x,t);
net.trainParam.epochs = 10;
net = train(net,x,t);
y=net(x);
perf1 = perform(net,t,y)
net2 = patternnet([2,2]);
net2= configure (net2, x,t);
net2.IW{1,1}=net.IW{1,1};
net2.LW{3,2}=ones(size(net2.LW{3,2}));
net2.LW{2,1}=net.LW{2,1};
net2.b{1,1}=net.b{1,1};
net2.b{3,1}=ones(size(net2.b{3,1}));
net2.b{2,1}=net.b{2,1};
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