RNN (Recurrent Neural Networks)

Recurrent Neural Networks (RNNs) are a type of artificial intelligence designed to process sequences of data, like sentences or time series. Unlike traditional neural networks, RNNs have loops that allow information to persist from one step of the sequence to the next. This means they can remember previous inputs, making them particularly effective for tasks such as language translation, speech recognition, and predicting trends. By capturing the context of earlier data points, RNNs can produce more accurate and relevant outputs, adapting their responses based on the sequence they are processing.