python 交互式可视化库_CNN Explainer - 通过交互式可视化学习卷积神经网络

最新推荐文章于 2024-03-20 09:44:54 发布

最新推荐文章于 2024-03-20 09:44:54 发布 · 285 阅读

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#python 交互式可视化库

CNNExplainer是一个交互式系统，帮助非专业人士通过视觉化学习CNN。它提供了一种动态方式来探索CNN工作原理，论文介绍了开发过程和使用方法。来自Georgia Tech和Oregon State的研究团队合作成果。

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CNN Explainer

An interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs)

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For more information, check out our manuscript:

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. Wang, Zijie J., Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, and Duen Horng Chau. arXiv preprint 2020. arXiv:2004.15004.

Live Demo

Running Locally

Clone or download this repository:

git clone git@github.com:poloclub/cnn-explainer.git

# use degit if you don't want to download commit histories

degit poloclub/cnn-explainer

Install the dependencies:

npm install

Then run CNN Explainer:

npm run dev

Navigate to localhost:5000. You should see CNN Explainer running in your broswer :)

To see how we trained the CNN, visit the directory ./tiny-vgg/.

Credits

CNN Explainer was created by Jay Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, and Polo Chau, which was the result of a research collaboration between Georgia Tech and Oregon State.

Citation

@article{wangCNNExplainerLearning2020,

title = {{{CNN Explainer}}: {{Learning Convolutional Neural Networks}} with {{Interactive Visualization}}},

shorttitle = {{{CNN Explainer}}},

author = {Wang, Zijie J. and Turko, Robert and Shaikh, Omar and Park, Haekyu and Das, Nilaksh and Hohman, Fred and Kahng, Minsuk and Chau, Duen Horng},

year = {2020},

month = apr,

archivePrefix = {arXiv},

eprint = {2004.15004},

eprinttype = {arxiv},

journal = {arXiv:2004.15004 [cs]}

}

License

The software is available under the MIT License.

Contact

If you have any questions, feel free to open an issue or contact Jay Wang.