Recurrent Neural Networks

Recurrent Neural Networks (RNNs) are a type of neural network designed to process sequential data. Unlike standard feedforward networks that treat each input independently, RNNs have connections that loop back on themselves, allowing them to maintain a "memory" of past inputs. This memory enables them to learn patterns and dependencies across sequences, making them suitable for tasks like natural language processing, time series analysis, and speech recognition.

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• @article@Recurrent Neural Network Tutorial (RNN)