Instead of 'x' and 't' arrays I have 'train_set_input' and 'train_set_target' with dimensions 11x830 and 2x830 respectively
I create the net by using
then train it by
[net,tr] = train(net,train_set_input,train_set_target);
in the wine example the net is like the following;
which provides output as 1 or 2 or 3.
In my case I get the following net;
My outputs can be any value between 0 and 1.
What should I do to get discrete outputs as it is in the example? (instead of some value between 0 and 1, I want either 0 or 1).
PS(please note the differences between the output layers shown in the net. How can I get the similar net?)