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Recurrent Neural Networks (RNNs) are a type of artificial neural network developed to process sequential data while keeping track of previous inputs.
These deep learning algorithms are frequently used for temporal and ordinal issues such as language translation, natural language processing (NLP), speech recognition, and image captioning.
