what is rnn

RNN stands for Recurrent Neural Network. It is a type of artificial neural network designed for processing sequential data. RNNs have feedback connections that allow information to persist and be processed across different time steps. This makes them effective in tasks such as natural language processing, speech recognition, and time series analysis. RNNs are capable of capturing dependencies and patterns in sequential data, making them suitable for tasks where the order of the data is important.

Recurrent neural networks recognize data’s sequential characteristics and use patterns to predict the next likely scenario. RNNs are used in deep learning and in the development of models that simulate neuron activity in the human brain.