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CNN 101: Interactive Visual Learning for Convolutional Neural Networks.

, , , , , , , and . CHI Extended Abstracts, page 1-7. ACM, (2020)

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Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers., , , and . CoRR, (2018)Atlas: local graph exploration in a global context., , , and . IUI, page 165-176. ACM, (2019)Managing Messes in Computational Notebooks., , , , and . CHI, page 270. ACM, (2019)Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning., , , , , , and . CHI Extended Abstracts, page 1-7. ACM, (2020)CNN 101: Interactive Visual Learning for Convolutional Neural Networks., , , , , , , and . CHI Extended Abstracts, page 1-7. ACM, (2020)Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences., , , and . CoRR, (2023)The Future of Notebook Programming Is Fluid., , , , and . CHI Extended Abstracts, page 1-8. ACM, (2020)FairVis: Visual analytics for discovering intersectional bias in machine learning, , , , , and . 2019 IEEE Conference on Visual Analytics Science and Technology (VAST), page 46--56. IEEE, (2019)Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers., , , and . IEEE Trans. Vis. Comput. Graph., 25 (8): 2674-2693 (2019)Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations., , , and . CoRR, (2019)