RNN

An RNN, or Recurrent Neural Network, is a type of computer model designed to process sequential data, like language or time series. It works by maintaining a "memory" of previous information, allowing it to understand context and relationships within the data over time. For example, in language, it considers earlier words when predicting or generating the next word. This ability to remember and use past information makes RNNs effective for tasks such as translation, speech recognition, and predicting sequences, as they adapt their outputs based on the evolving input sequence.