Recurrent Neural Network (RNN) is a type of artificial neural network designed for processing sequential data. Unlike traditional neural networks, RNNs have loops allowing information to persist, simulating a form of memory.
RNNs in Sequential Data Processing
RNNs are highly effective for tasks where context or order of data is important, such as language translation, speech recognition, and time series analysis. However, they can struggle with long sequences due to issues like vanishing gradient.
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