<ul><li>The attention mechanism allows the selection of necessary information and/or increases its impact in a specific task.</li><li>It dynamically assigns different weights to different parts of the input data, enabling the model to better understand the context and relationships between data elements.</li><li>The attention mechanism is widely used in natural language processing, computer vision, and other fields.</li><li>It is used in various ways, such as focusing on different channels or spatial locations in image processing, or at word and sentence levels for document classification.</li></ul>

What is an Attention Mechanism in Deep Neural Networks

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