RNN (Recurrent Neural Network)

A Recurrent Neural Network (RNN) is a type of artificial intelligence model designed to understand sequences of data, like sentences or time series. Unlike traditional models that process data independently, RNNs remember information from earlier in the sequence, allowing them to grasp context and patterns over time. This memory helps RNNs perform tasks such as language translation, speech recognition, and predicting future values in data. Essentially, RNNs mimic a basic aspect of human memory when dealing with sequential information, making them powerful tools for analyzing data where order matters.