Experiments have shown that neural nets can learn their subject matter even with unreliable teachers. If the training data is labeled correctly only 60 percent of the time, a neural net can still learn its lessons with an accuracy well over 90 percent. Under some conditions, even smaller proportions of accurate labels can be used effectively.
