Mini toolsDefinition
Neural networks designed to work with sequential data by maintaining an internal state or memory
Detailed Explanation
RNNs process sequences by incorporating loops that allow information to persist across steps. They maintain a hidden state that can capture information about previous inputs making them suitable for tasks involving sequential or time-series data.
Use Cases
Natural language processing time series prediction speech recognition machine translation
