Recurrent Neural Network

A recurrent neural network (RNN) is a type of artificial neural network designed to process sequential data by maintaining an internal state (memory) that captures information from previous inputs in the sequence. Unlike feedforward networks, RNNs have connections that loop back, allowing them to model temporal dependencies in data such as speech, text, or time series. In accessibility, RNNs and their variants (LSTMs, GRUs) are used in speech recognition systems, real-time captioning, sign language recognition, predictive text input, and other applications where understanding context over time is essential for assistive technology.