{"id":22283616,"url":"https://github.com/ashok-arjun/cnn-explainer","last_synced_at":"2025-03-25T19:50:45.798Z","repository":{"id":110969436,"uuid":"291015655","full_name":"ashok-arjun/CNN-Explainer","owner":"ashok-arjun","description":"Techniques for interpreting ConvNets","archived":false,"fork":false,"pushed_at":"2020-12-21T10:26:41.000Z","size":12158,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-30T17:39:33.903Z","etag":null,"topics":["convnets","convolutional-neural-networks","deep-learning","interpretability"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ashok-arjun.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-08-28T10:14:05.000Z","updated_at":"2020-12-21T10:26:43.000Z","dependencies_parsed_at":"2023-03-15T12:45:17.840Z","dependency_job_id":null,"html_url":"https://github.com/ashok-arjun/CNN-Explainer","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ashok-arjun%2FCNN-Explainer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ashok-arjun%2FCNN-Explainer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ashok-arjun%2FCNN-Explainer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ashok-arjun%2FCNN-Explainer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ashok-arjun","download_url":"https://codeload.github.com/ashok-arjun/CNN-Explainer/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245535422,"owners_count":20631293,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["convnets","convolutional-neural-networks","deep-learning","interpretability"],"created_at":"2024-12-03T16:41:22.386Z","updated_at":"2025-03-25T19:50:45.764Z","avatar_url":"https://github.com/ashok-arjun.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cimg src=\"https://img.shields.io/badge/python%20-%2314354C.svg?\u0026style=for-the-badge\u0026logo=python\u0026logoColor=white\"/\u003e \u003cimg src=\"https://img.shields.io/badge/PyTorch%20-%23EE4C2C.svg?\u0026style=for-the-badge\u0026logo=PyTorch\u0026logoColor=white\" /\u003e\n\n# CNN-Explainer\n\nThis repository implements the following techniques for interpreting convolutional neural networks:\n\n1. Saliency maps \u003csup\u003e[1]\u003c/sup\u003e\n2. Guided Backpropagation \u003csup\u003e[2]\u003c/sup\u003e\n3. Class visualization \u003csup\u003e[3]\u003c/sup\u003e\n4. Grad-CAM \u003csup\u003e[4]\u003c/sup\u003e\n\nApart from this, the following techniques are also implemented\n\n1. Adversarial fooling (by backpropagating gradients w.r.t. to classification error of required fooling class into the image) \u003csup\u003e[5]\u003c/sup\u003e\n\n## References\n\n1. Simonyan, K. et al. “Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.” CoRR abs/1312.6034 (2014): n. pag.\n\n2. Springenberg, Jost Tobias et al. “Striving for Simplicity: The All Convolutional Net.” CoRR abs/1412.6806 (2015): n. pag.\n\n3. Yosinski, J. et al. “Understanding Neural Networks Through Deep Visualization.” ArXiv abs/1506.06579 (2015): n. pag.\n\n4. Selvaraju, R. R. et al. “Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization.” International Journal of Computer Vision 128 (2019): 336-359.\n\n5. Szegedy, Christian et al. “Intriguing properties of neural networks.” CoRR abs/1312.6199 (2014): n. pag.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fashok-arjun%2Fcnn-explainer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fashok-arjun%2Fcnn-explainer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fashok-arjun%2Fcnn-explainer/lists"}