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Developing on our prior example with photos – in an image recognition network, the first layer of nodes might figure out how to recognize edges, the second layer may learn to detect styles, plus the 3rd layer may well figure out how to identify objects.The machine follows a set of policies—termed an algorithm—to analyze and draw inferences