+Recurrent Neural Networks (RNNs) are a class of [Neural Network](/wiki/neural_network) designed to recognize patterns in sequences of data. Unlike traditional networks, RNNs have internal memory, allowing them to process inputs in order, making them powerful for tasks like [Natural Language Processing](/wiki/natural_language_processing) and speech recognition. Their recurrent connections enable information to persist, influencing subsequent predictions.
+## See also
+- [Deep Learning](/wiki/deep_learning)
+- [Machine Learning](/wiki/machine_learning)
+- [Long Short-Term Memory](/wiki/long_short-term_memory)
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