Recurrent Neural Network (RNN)

Recurrent Neural Networks are a class of neural networks that are particularly suited for processing sequences of data, such as time series or natural language. They have connections that loop back on themselves, allowing them to maintain a memory of previous inputs. This architecture enables RNNs to learn patterns in data where the order of inputs is important, such as predicting the next word in a sentence.