{"id":13513504,"url":"https://github.com/poloclub/cnn-explainer","last_synced_at":"2025-05-13T22:12:32.250Z","repository":{"id":37643545,"uuid":"219378850","full_name":"poloclub/cnn-explainer","owner":"poloclub","description":"Learning Convolutional Neural Networks with Interactive Visualization.","archived":false,"fork":false,"pushed_at":"2023-10-14T15:56:25.000Z","size":90398,"stargazers_count":8427,"open_issues_count":5,"forks_count":1272,"subscribers_count":165,"default_branch":"master","last_synced_at":"2025-04-30T00:51:48.892Z","etag":null,"topics":["deep-learning","interactive-visualizations","machine-learning","visual-learning","visualization"],"latest_commit_sha":null,"homepage":"https://poloclub.github.io/cnn-explainer/","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/poloclub.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2019-11-03T23:15:24.000Z","updated_at":"2025-04-29T13:27:14.000Z","dependencies_parsed_at":"2023-10-02T20:06:11.052Z","dependency_job_id":"322d744d-a1c8-4d14-a82e-2fc65a448833","html_url":"https://github.com/poloclub/cnn-explainer","commit_stats":null,"previous_names":[],"tags_count":4,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/poloclub%2Fcnn-explainer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/poloclub%2Fcnn-explainer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/poloclub%2Fcnn-explainer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/poloclub%2Fcnn-explainer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/poloclub","download_url":"https://codeload.github.com/poloclub/cnn-explainer/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254036843,"owners_count":22003654,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","interactive-visualizations","machine-learning","visual-learning","visualization"],"created_at":"2024-08-01T05:00:29.546Z","updated_at":"2025-05-13T22:12:27.242Z","avatar_url":"https://github.com/poloclub.png","language":"JavaScript","readme":"# CNN Explainer\n\nAn interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs)\n\n[![build](https://github.com/poloclub/cnn-explainer/workflows/build/badge.svg)](https://github.com/poloclub/cnn-explainer/actions)\n[![arxiv badge](https://img.shields.io/badge/arXiv-2004.15004-red)](http://arxiv.org/abs/2004.15004)\n[![DOI:10.1109/TVCG.2020.3030418](https://img.shields.io/badge/DOI-10.1109/TVCG.2020.3030418-blue)](https://doi.org/10.1109/TVCG.2020.3030418)\n\n\u003ca href=\"https://youtu.be/HnWIHWFbuUQ\" target=\"_blank\"\u003e\u003cimg src=\"https://i.imgur.com/sCsudVg.png\" style=\"max-width:100%;\"\u003e\u003c/a\u003e\n\nFor more information, check out our manuscript:\n\n[**CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization**](https://arxiv.org/abs/2004.15004).\nWang, Zijie J., Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, and Duen Horng Chau.\n*IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020.*\n\n## Live Demo\n\nFor a live demo, visit: http://poloclub.github.io/cnn-explainer/\n\n## Running Locally\n\nClone or download this repository:\n\n```bash\ngit clone git@github.com:poloclub/cnn-explainer.git\n\n# use degit if you don't want to download commit histories\ndegit poloclub/cnn-explainer\n```\n\nInstall the dependencies:\n\n```bash\nnpm install\n```\n\nThen run CNN Explainer:\n\n```bash\nnpm run dev\n```\n\nNavigate to [localhost:3000](https://localhost:3000). You should see CNN Explainer running in your broswer :)\n\nTo see how we trained the CNN, visit the directory [`./tiny-vgg/`](tiny-vgg).\nIf you want to use CNN Explainer with your own CNN model or image classes, see [#8](/../../issues/8) and [#14](/../../issues/14).\n\n## Credits\n\nCNN Explainer was created by\n\u003ca href=\"https://zijie.wang/\"\u003eJay Wang\u003c/a\u003e,\n\u003ca href=\"https://www.linkedin.com/in/robert-turko/\"\u003eRobert Turko\u003c/a\u003e,\n\u003ca href=\"http://oshaikh.com/\"\u003eOmar Shaikh\u003c/a\u003e,\n\u003ca href=\"https://haekyu.com/\"\u003eHaekyu Park\u003c/a\u003e,\n\u003ca href=\"http://nilakshdas.com/\"\u003eNilaksh Das\u003c/a\u003e,\n\u003ca href=\"https://fredhohman.com/\"\u003eFred Hohman\u003c/a\u003e,\n\u003ca href=\"http://minsuk.com\"\u003eMinsuk Kahng\u003c/a\u003e, and\n\u003ca href=\"https://www.cc.gatech.edu/~dchau/\"\u003ePolo Chau\u003c/a\u003e,\nwhich was the result of a research collaboration between\nGeorgia Tech and Oregon State.\n\nWe thank\n[Anmol Chhabria](https://www.linkedin.com/in/anmolchhabria),\n[Kaan Sancak](https://kaansancak.com),\n[Kantwon Rogers](https://www.kantwon.com), and the\n[Georgia Tech Visualization Lab](http://vis.gatech.edu)\nfor their support and constructive feedback.\n\n## Citation\n\n```bibTeX\n@article{wangCNNExplainerLearning2020,\n  title = {{{CNN Explainer}}: {{Learning Convolutional Neural Networks}} with {{Interactive Visualization}}},\n  shorttitle = {{{CNN Explainer}}},\n  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},\n  journal={IEEE Transactions on Visualization and Computer Graphics (TVCG)},\n  year={2020},\n  publisher={IEEE}\n}\n```\n\n## License\n\nThe software is available under the [MIT License](https://github.com/poloclub/cnn-explainer/blob/master/LICENSE).\n\n## Contact\n\nIf you have any questions, feel free to [open an issue](https://github.com/poloclub/cnn-explainer/issues/new/choose) or contact [Jay Wang](https://zijie.wang).\n","funding_links":[],"categories":["Toolbox","Uncategorized","Sensor Processing","JavaScript","其他_机器学习与深度学习","人工智能"],"sub_categories":["Research Tools","Uncategorized","Machine Learning","学习资料"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpoloclub%2Fcnn-explainer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpoloclub%2Fcnn-explainer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpoloclub%2Fcnn-explainer/lists"}