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CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

, , , , , , , and . (2020)cite arxiv:2004.15004Comment: 11 pages, 14 figures. For a demo video, see https://youtu.be/HnWIHWFbuUQ For a live demo, visit https://poloclub.github.io/cnn-explainer/.

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Explaining Website Reliability by Visualizing Hyperlink Connectivity., , , , , , , and . CoRR, (2022)CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization., , , , , , , and . IEEE Trans. Vis. Comput. Graph., 27 (2): 1396-1406 (2021)VisGrader: Automatic Grading of D3 Visualizations., , , , , , , , , and 2 other author(s). CoRR, (2023)Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks., , , , , , and . IEEE VIS (Short Papers), page 271-275. IEEE, (2020)Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases., , , , , , and . IEEE VIS (Short Papers), page 45-49. IEEE, (2022)Dodrio: Exploring Transformer Models with Interactive Visualization., , and . ACL (demo), page 132-141. Association for Computational Linguistics, (2021)WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings., , and . ACL (demo), page 516-523. Association for Computational Linguistics, (2023)PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing., , , , , and . CoRR, (2020)Mapping Researchers with PeopleMap., , , , , and . CoRR, (2020)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.