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Motivation
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A main motivation behind neural networks is the fact that symbolic rules do not reflect reasoning processes performed by humans.
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Biological neural systems can capture highly parallel computations based on representations that are distributed over many neurons.
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They learn and generalize from training data; no need for programming it all...
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They are very noise tolerant – better resistance than symbolic systems.
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