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- W4313341321 abstract "With the continuous development of deep learning, convolutional neural networks are gradually playing an increasingly important role in classification models. Adding attention mechanisms based on convolutional neural networks to improve the classification effect of the model has been proven a lot. However, only theoretically understanding how attention mechanisms enhance the model's performance is a lack of intuition. Therefore, to explore the role of the attention mechanism in the model, this article will start from visualization and analyze how the attention mechanism improves the model's performance in combination with theory. The method makes attention more intuitive and more accessible for non-professionals to understand the working principle of attention mechanism, facilitating the promotion of attention mechanism and convolutional neural networks." @default.
- W4313341321 created "2023-01-06" @default.
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- W4313341321 date "2022-01-01" @default.
- W4313341321 modified "2023-09-27" @default.
- W4313341321 title "Visualization of Convolutional Neural Networks with Attention Mechanism" @default.
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- W4313341321 doi "https://doi.org/10.1007/978-3-031-23741-6_8" @default.
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