{"id":13440552,"url":"https://github.com/afshinea/stanford-cs-230-deep-learning","last_synced_at":"2026-01-28T04:33:37.692Z","repository":{"id":40558715,"uuid":"159279531","full_name":"afshinea/stanford-cs-230-deep-learning","owner":"afshinea","description":"VIP cheatsheets for Stanford's CS 230 Deep Learning","archived":false,"fork":false,"pushed_at":"2020-05-20T04:23:57.000Z","size":40037,"stargazers_count":6434,"open_issues_count":6,"forks_count":1351,"subscribers_count":227,"default_branch":"master","last_synced_at":"2025-01-28T14:47:23.461Z","etag":null,"topics":["cheatsheet","convolutional-neural-networks","data-science","deep-learning","recurrent-neural-networks"],"latest_commit_sha":null,"homepage":"https://stanford.edu/~shervine/teaching/cs-230/","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/afshinea.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-11-27T05:12:37.000Z","updated_at":"2025-01-28T13:25:14.000Z","dependencies_parsed_at":"2022-07-31T23:39:04.539Z","dependency_job_id":null,"html_url":"https://github.com/afshinea/stanford-cs-230-deep-learning","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/afshinea%2Fstanford-cs-230-deep-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/afshinea%2Fstanford-cs-230-deep-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/afshinea%2Fstanford-cs-230-deep-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/afshinea%2Fstanford-cs-230-deep-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/afshinea","download_url":"https://codeload.github.com/afshinea/stanford-cs-230-deep-learning/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245072268,"owners_count":20556353,"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":["cheatsheet","convolutional-neural-networks","data-science","deep-learning","recurrent-neural-networks"],"created_at":"2024-07-31T03:01:23.826Z","updated_at":"2026-01-28T04:33:37.647Z","avatar_url":"https://github.com/afshinea.png","language":null,"funding_links":[],"categories":["Others","Pytorch"],"sub_categories":["3. Course and Code"],"readme":"# Deep Learning cheatsheets for Stanford's CS 230\n\nAvailable in [English](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/en) -  [فارسی](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fa) -  [Français](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/fr) - [日本語](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/ja) - [한국어](https://stanford.edu/~shervine/l/ko/teaching/cs-230/cheatsheet-convolutional-neural-networks) -  [Türkçe](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/tr) - [Tiếng Việt](https://github.com/afshinea/stanford-cs-230-deep-learning/tree/master/vi)\n\n## Goal\nThis repository aims at summing up in the same place all the important notions that are covered in Stanford's CS 230 Deep Learning course, and include:\n- **Cheatsheets detailing everything** about convolutional neural networks, recurrent neural networks, as well as the tips and tricks to have in mind when training a deep learning model.\n- All elements of the above combined in an **ultimate compilation of concepts**, to have with you at all times!\n\n## Content\n#### VIP Cheatsheets\n|\u003ca href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/cheatsheet-convolutional-neural-networks.pdf\"\u003e\u003cimg src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-001.png?\" alt=\"Illustration\" width=\"280px\"/\u003e\u003c/a\u003e|\u003ca href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/cheatsheet-recurrent-neural-networks.pdf\"\u003e\u003cimg src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-002.png?\" alt=\"Illustration\" width=\"280px\"/\u003e\u003c/a\u003e|\u003ca href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/cheatsheet-deep-learning-tips-tricks.pdf\"\u003e\u003cimg src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-003.png?\" alt=\"Illustration\" width=\"280px\"/\u003e\u003c/a\u003e|\n|:--:|:--:|:--:|\n|Convolutional Neural Networks|Recurrent Neural Networks|Tips and tricks|\n\n#### Super VIP Cheatsheet\n|\u003ca href=\"https://github.com/afshinea/stanford-cs-230-deep-learning/blob/master/en/super-cheatsheet-deep-learning.pdf\"\u003e\u003cimg src=\"https://stanford.edu/~shervine/teaching/cs-230/illustrations/cover/en-004.png?\" alt=\"Illustration\" width=\"400px\"/\u003e\u003c/a\u003e|\n|:--:|\n|All the above gathered in one place|\n\n## Website\nThis material is also available on a dedicated [website](https://stanford.edu/~shervine/teaching/cs-230), so that you can enjoy reading it from any device.\n\n## Translation\nWould you like to see these cheatsheets in your native language? You can help us translating them on [this dedicated repo](https://github.com/shervinea/cheatsheet-translation)!\n\n## Authors\n[Afshine Amidi](https://twitter.com/afshinea) (Ecole Centrale Paris, MIT) and [Shervine Amidi](https://twitter.com/shervinea) (Ecole Centrale Paris, Stanford University)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fafshinea%2Fstanford-cs-230-deep-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fafshinea%2Fstanford-cs-230-deep-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fafshinea%2Fstanford-cs-230-deep-learning/lists"}