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At that time, the network can have 'figured out' ways to perform a certain task. The desired output could possibly be anything at all from the right way labeling fruit in an image to predicting when an elevator may possibly fall short dependant on its sensor data.These ideas are exercised in supervised learning and reinforcement learning,