Recurrent Neural Networks (RNN)

Recurrent Neural Networks (RNNs) are a type of artificial intelligence model designed for processing sequences of data, such as words in a sentence or time series data. Unlike traditional neural networks, RNNs have connections that loop back on themselves, allowing them to remember previous information. This memory helps them understand context and make predictions based on past inputs. RNNs are widely used in tasks like language translation, speech recognition, and music generation, as they can effectively learn patterns over time and generate coherent outputs based on the sequences they’ve processed.