Scalable. Interactive. Interpretable. At Georgia Tech, we innovate scalable, interactive, and interpretable tools that amplify human’s ability to understand and interact with billion-scale data and machine learning models. Our current research thrusts: human-centered AI (interpretable, fair, safe AI; adversarial ML); large graph visualization and mining; cybersecurity; and social good (health, energy).
CNN 卷积神经网络的可视化
https://poloclub.github.io/cnn-explainer/
https://arxiv.org/abs/2004.15004
https://github.com/poloclub/cnn-explainer
Transformer 神经网络的可视化
https://poloclub.github.io/transformer-explainer/