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Recurrent Neural Network (RNN)
Models & Architectures
Sequence models with recurrent connections.
RNNs process sequences step by step, sharing internal states across time steps.
- Variants: LSTM, GRU—mitigating vanishing/exploding gradients.
- Applications: Time series, speech, basic dialogue systems.
- Limitations: Long dependencies, serial computation, latency.