- Attention mechanisms enhance the capability of models like LSTMs to focus on relevant parts of the input sequence, enabling them to handle long-range dependencies more effectively.
- Example: Developing a Keras model with attention mechanisms for predicting traffic flow patterns, where historical traffic data from distant time points influences current predictions.
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