developer-roadmap/roadmaps/machine-learning/content/rnn@LpggrF1MMvAxtO9EJe3wY.md

Recurrent Neural Networks

Recurrent Neural Networks (RNNs) are a type of neural network designed to process sequential data. Unlike standard feedforward networks that treat each input independently, RNNs have connections that loop back on themselves, allowing them to maintain a "memory" of past inputs. This memory enables them to learn patterns and dependencies across sequences, making them suitable for tasks like natural language processing, time series analysis, and speech recognition.

Visit the following resources to learn more:

• @article@Recurrent Neural Network Tutorial (RNN)