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Bidirectional recurrent neural networks (BRNN) uses two RNN that processes the identical input in reverse instructions.[37] These two are often combined, giving the bidirectional LSTM architecture. The problem with this is that there isn’t a cause to believe that \(x_1\) has anything to do with \(y_1\). In many Spanish sentences, the order of the words …

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