Recurrent Neural Networks (RNNs)
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Recurrent neural networks (RNNs) are models that were created to tackle problems within the scope of pattern recognition and are fundamentally built on the same concepts with respect to feed-forward MLPs. The difference is that although MLPs by definition have multiple layers, RNNs do not and instead have a directed cycle through which the inputs are transformed into outputs. I’ll begin the chapter by covering several RNN models and end it with a practical application of RNNs.