Explainable AI for Image Classification

版本 1.0.2 (46.7 MB) 作者: Oge Marques
Example of how to use MATLAB to produce post-hoc explanations (using Grad-CAM) for image classification tasks.
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更新时间 2022/12/22
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Explainable AI for Image Classification

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This repository shows an example of how to use MATLAB to produce post-hoc explanations -- using Grad-CAM -- for two image classification tasks.

Requirements

Suggested steps

  1. Download or clone the repository.
  2. Open MATLAB.
  3. Run the example.mlx script and inspect results.

Additional remarks

  • You are encouraged to expand and adapt the example to your needs.
  • The choice of pretrained network and hyperparameters (learning rate, mini-batch size, number of epochs, etc.) is merely illustrative.
  • You are encouraged to (use Experiment Manager app to) tweak those choices and find a better solution.

引用格式

Oge Marques (2024). Explainable AI for Image Classification (https://github.com/ogemarques/xai-image-classification/releases/tag/1.0.2), GitHub. 检索来源 .

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创建方式 R2022b
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版本 已发布 发行说明
1.0.2

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。