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GlossaryDeep LearningAttention Mechanisms

Attention Mechanisms

[əˈtɛnʃən mɛkəˈnɪzəmz]
Deep Learning
Last updated: December 9, 2024

Definition

Neural network components that allow models to focus on relevant parts of input data

Detailed Explanation

Attention mechanisms compute weighted sums of input features, allowing models to dynamically focus on relevant information. They are crucial for handling variable-length input sequences and improving model interpretability.

Use Cases

Machine translation, image captioning, text summarization

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