What is the primary purpose of recurrent neural networks (RNNs)?
- Dimensionality reduction
- Handling static data
- Image classification
- Modeling sequential data
RNNs are designed for 'modeling sequential data.' They are capable of processing data with temporal dependencies, making them suitable for tasks like natural language processing, speech recognition, and time series analysis. RNNs maintain a hidden state that carries information from previous time steps.
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