Recurrent Neural Network (RNN)

A Recurrent Neural Network (RNN) is a type of artificial intelligence model designed to process sequences of data, such as text or time series. Unlike standard neural networks that examine individual data points separately, RNNs maintain a memory of previous inputs, allowing them to consider context across the sequence. This makes RNNs particularly effective for tasks like language translation or speech recognition, where understanding the order and relationship of words or sounds is crucial. By recycling information through their internal structure, RNNs can generate more accurate and coherent outputs based on the entire input sequence.