A Recurrent Neural Network (RNN) is a class of neural networks designed for processing sequential data. Unlike feedforward networks, RNNs have loops in their architecture, allowing information to persist across time steps. This makes them well-suited for tasks like language modeling, time-series prediction, and speech recognition.