To train a neural network, using the friend analogy previously outlined, you would give the first friend in the network an interesting but unknown object or piece of data and ask them to tell the next friend something important about this object. Once the object has made it to the last friend he must use all the bits of information passed down from previous friends to make a guess as to what this object really is! If this guess is correct then everyone in this group of friends accomplished their goal but if he is incorrect then the guesser has to return a correction message down the chain of friends to tell them where they were incorrect about their descriptions. To train a neural net it is usually required to input millions of such unknown objects.
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