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Recurrent neural networks (RNN) differ from feedforward neural networks in they ordinarily use time sequence information or info that entails sequences. Compared with feedforward neural networks, which use weights in each node from the community, recurrent neural networks have “memory” of what transpired in the previous layer as contingent to y

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