Recurrent Neural Network

A Recurrent Neural Network (RNN) is a type of artificial intelligence model designed to process sequences of data, like sentences or time series. Unlike traditional neural networks, RNNs have a loop structure that allows information from previous steps to influence current processing. This means they "remember" context over time, making them well-suited for tasks like language translation, speech recognition, and predicting future data points. Essentially, RNNs mimic the way humans consider past information to understand or predict what comes next in a sequence.