Recurrent Neural Networks (RNNs)

Recurrent Neural Networks (RNNs) are a type of artificial intelligence designed to process sequences of data, like sentences or time series, by remembering information from earlier in the sequence. Unlike traditional neural networks, RNNs have loops that allow information to persist, enabling them to understand context and patterns over time. This makes them particularly useful for tasks like language translation, speech recognition, and predicting stock prices, where understanding the sequence and its order is essential for accurate results.