attention mechanisms
Attention mechanisms refer to computational models that help neural networks focus on relevant information by dynamically weighting different parts of an input sequence. These mechanisms enable networks to selectively pay more attention to specific inputs, enriching their understanding and improving performance in tasks such as natural language processing and computer vision.
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Related Concepts (2)
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