Which RNN architecture is more computationally efficient but might not capture all the intricate patterns that its counterpart can: LSTM or GRU?
- GRU
- LSTM
- Both capture patterns efficiently
- Neither captures patterns effectively
The GRU (Gated Recurrent Unit) is more computationally efficient than LSTM (Long Short-Term Memory) but may not capture all intricate patterns in data due to its simplified architecture. LSTM is more expressive but computationally demanding.
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