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Related Questions
- How do RNNs handle long-term dependencies in sequential data such as text or speech?
- What is the primary challenge in modeling long-term dependencies in RNNs?
- Can you explain the concept of vanishing gradients in RNNs and its impact on long-term dependencies?
- How do RNNs use feedback connections to address long-term dependencies in language models?
- What is the role of the Gated Recurrent Unit (GRU) and Long Short-Term Memory (LSTM) in addressing long-term dependencies?
- Can you provide an example of how RNNs can be used to model long-term dependencies in a real-world language task?
- How do RNNs compare to other architectures such as Transformers in handling long-term dependencies?
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