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cnn-explainer: An interactive visualization system designed to help non-experts ...

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称:

cnn-explainer

开源软件地址:

https://gitee.com/fxtfxt/cnn-explainer

开源软件介绍:

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

For a live demo, visit: http://poloclub.github.io/cnn-explainer/

Running Locally

Clone or download this repository:

git clone [email protected]:poloclub/cnn-explainer.git# use degit if you don't want to download commit historiesdegit 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 byJay Wang,Robert Turko,Omar Shaikh,Haekyu Park,Nilaksh Das,Fred Hohman,Minsuk Kahng, andPolo Chau,which was the result of a research collaboration betweenGeorgia Tech and Oregon State.

We thankAnmol Chhabria,Kaan Sancak,Kantwon Rogers, and theGeorgia Tech Visualization Labfor their support and constructive feedback.

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.


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