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In feedforward neural networks the sign passes in just one course.[111] Recurrent neural networks feed the output sign back again in to the enter, which allows short-term memories of previous enter events. very long temporary memory is the most successful community architecture for recurrent networks.[112] ordinarily, a subsequent instruction