TransferVis: A visualization tool for exploring and analyzing feature representations in transfer learning, enhancing interpretability and decision-making.
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.
@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}
}