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A Fast Learning Algorithm for Deep Belief Nets
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A Fast Learning Algorithm for Deep Belief Nets

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We show how to use "complementary priors" to eliminate the explaining-away effects that make inference difficult in densely connected belief nets that have many hidden layers. Using complementary priors, we derive a fast, greedy algorithm that can...