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Recurrent neural networks (RNN) differ from feedforward neural networks in which they usually use time collection details or data that consists of sequences. Unlike feedforward neural networks, which use weights in Each and every node in the network, recurrent neural networks have “memory” of what happened within the earlier layer as contingent