Recurrent Neural Networks

Recurrent Neural Networks (RNNs) are a class of Neural Network designed to recognize patterns in sequences of data. Unlike traditional networks, RNNs have internal memory, allowing them to process inputs in order, making them powerful for tasks like Natural Language Processing and speech recognition. Their recurrent connections enable information to persist, influencing subsequent predictions.

See also

• Deep Learning
• Machine Learning
• Long Short-Term Memory
• Time Series