Introduction: Recurrent Neural Networks

Overview of recurrent neural networks

Recurrent neural networks (RNNs) are a special family of neural networks that are designed to cope with sequential data (that is, time-series data), such as stock market prices or a sequence of texts (for example, variable-length sentences). RNNs maintain a state variable that captures the various patterns present in sequential data; therefore, they are able to model sequential data. In comparison, conventional feed-forward neural networks don’t ...