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Sep 9, 2016 at 7:04 comment added Iliyan Bobev While being trained, the NN is trying to "discover" a function f(x) such that f(x_train) = t with t being the labels. After the model is trained, the purpose of f(x) is to produce predictions. If x_test is the input, then y = f(x_test) is the output. I think the confusion comes from the vector x containing both x_train and x_test which have completely different purposes.
Sep 9, 2016 at 0:39 comment added Gary Thanks for the other example. But what I don't understand is why it's being called an output, if it's the neural network's input? Is net(input) returned an array that I'm not understanding?
Sep 9, 2016 at 0:37 vote accept Gary
Sep 9, 2016 at 0:31 vote accept Gary
Sep 9, 2016 at 0:37
Sep 8, 2016 at 22:26 history answered Iliyan Bobev CC BY-SA 3.0