一个交互式可视化系统，旨在帮助非专家了解卷积神经网络 (CNN)
有关更多信息，请查看我们的手稿：
CNN 解释器：通过交互式可视化学习卷积神经网络。Wang, Zijie J.、Robert Turko、Omar Shaikh、Haekyu Park、Nilaksh Das、Fred Hohman、Minsuk Kahng 和 Duen Horng Chau。 IEEE 可视化和计算机图形学汇刊 (TVCG)，2020 年。
如需现场演示，请访问：http ://poloclub.github.io/cnn-explainer/
克隆或下载此存储库：
git clone git@github.com:poloclub/cnn-explainer.git
# use degit if you don’t want to download commit histories
degit poloclub/cnn-explainer
degit poloclub/cnn-explainer" tabindex=“0” role=“button”>
安装依赖项：
npm install
然后运行 CNN Explainer：
npm run dev
导航到localhost:3000。您应该会看到 CNN Explainer 在您的浏览器中运行 :)
要查看我们如何训练 CNN，请访问目录./tiny-vgg/。如果您想将 CNN Explainer 与您自己的 CNN 模型或图像类一起使用，请参阅#8和#14。
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.
We thank Anmol Chhabria, Kaan Sancak, Kantwon Rogers, and the Georgia Tech Visualization Lab for their support and constructive feedback.
@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}, journal={IEEE Transactions on Visualization and Computer Graphics (TVCG)}, year={2020}, publisher={IEEE} }
The software is available under the MIT License.
