Neural Networks
How do RNNs process sequential and time-series data?
Answer:
Recurrent neural networks (RNNs) process sequential data by maintaining memory through recurrent connections between nodes. This architecture captures temporal dependencies in data such as time series or text. Extensions such as LSTMs and GRUs further enhance the learning of long-term patterns.
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