What is the primary advantage of using LSTMs and GRUs over basic RNNs?

  • Handling Vanishing Gradient
  • Simplicity and Speed
  • Memory Efficiency
  • Higher Prediction Accuracy
LSTMs and GRUs offer an advantage in handling the vanishing gradient problem, which is a significant limitation of basic RNNs. Their gated mechanisms help mitigate this issue, allowing for better learning of long-term dependencies and improved performance in tasks involving sequential data.
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