{"id":13631336,"url":"https://github.com/hunkim/DeepLearningZeroToAll","last_synced_at":"2025-04-17T21:32:46.947Z","repository":{"id":37405913,"uuid":"82524265","full_name":"hunkim/DeepLearningZeroToAll","owner":"hunkim","description":"TensorFlow Basic Tutorial Labs","archived":false,"fork":false,"pushed_at":"2023-10-31T15:04:17.000Z","size":749,"stargazers_count":4480,"open_issues_count":0,"forks_count":2666,"subscribers_count":420,"default_branch":"master","last_synced_at":"2025-04-11T00:48:27.690Z","etag":null,"topics":["keras","lab","mxnet","python","pytorch","tensorflow","tutorial"],"latest_commit_sha":null,"homepage":"https://www.youtube.com/user/hunkims","language":"Jupyter Notebook","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/hunkim.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","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}},"created_at":"2017-02-20T06:26:23.000Z","updated_at":"2025-04-10T16:04:04.000Z","dependencies_parsed_at":"2022-07-08T17:47:56.847Z","dependency_job_id":"2bd85cd4-ecdb-447e-9f83-813c21a454f8","html_url":"https://github.com/hunkim/DeepLearningZeroToAll","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/hunkim%2FDeepLearningZeroToAll","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hunkim%2FDeepLearningZeroToAll/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hunkim%2FDeepLearningZeroToAll/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hunkim%2FDeepLearningZeroToAll/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hunkim","download_url":"https://codeload.github.com/hunkim/DeepLearningZeroToAll/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249381007,"owners_count":21261227,"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":["keras","lab","mxnet","python","pytorch","tensorflow","tutorial"],"created_at":"2024-08-01T22:02:21.340Z","updated_at":"2025-04-17T21:32:46.585Z","avatar_url":"https://github.com/hunkim.png","language":"Jupyter Notebook","readme":"# Lab code (WIP), but call for comments\n\n[![Build Status](https://travis-ci.org/hunkim/DeepLearningZeroToAll.svg?branch=master)](https://travis-ci.org/hunkim/DeepLearningZeroToAll)\n\nThis is code for labs covered in TensorFlow basic tutorials (in Korean) at https://youtu.be/BS6O0zOGX4E.\n(We also have a plan to record videos in English.)\n\nThis is work in progress, and may have bugs.\nHowever, we call for your comments and pull requests. Check out our style guide line:\n\n* More TF (1.0) style: use more recent and decent TF APIs.\n* More Pythonic: fully leverage the power of python\n* Readability (over efficiency): Since it's for instruction purposes, we prefer *readability* over others.\n* Understandability (over everything): Understanding TF key concepts is the main goal of this code.\n* KISS: Keep It Simple Stupid! https://www.techopedia.com/definition/20262/keep-it-simple-stupid-principle-kiss-principle\n\n## Lab slides:\n\n* https://goo.gl/jPtWNt\n\nWe welcome your comments on slides.\n\n## File naming rule:\n\n* klab-XX-X-[name].py: Keras labs code\n* lab-XX-X-[name].py: TensorFlow lab code\n* mxlab-XX-X-[name].py: MXNet lab code\n\n## Install requirements\n```bash\npip install -r requirements.txt\n```\n\n## Run test and autopep8\nTODO: Need to add more test cases\n\n```bash\npython -m unittest discover -s tests;\n\n# http://stackoverflow.com/questions/14328406/\npip install autopep8 # if you haven't install\nautopep8 . --recursive --in-place --pep8-passes 2000 --verbose\n```\n## Automatically create requirements.txt\n\n```bash\npip install pipreqs\n\npipreqs /path/to/project\n```\nhttp://stackoverflow.com/questions/31684375\n\n## Contributions/Comments\nWe always welcome your comments and pull requests.\n\n## Reference Implementations\n* https://github.com/nlintz/TensorFlow-Tutorials/\n* https://github.com/golbin/TensorFlow-ML-Exercises\n* https://github.com/FuZer/Study_TensorFlow\n* https://github.com/fchollet/keras/tree/master/examples\n","funding_links":[],"categories":["Jupyter Notebook","DeepLearning Tutorial"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhunkim%2FDeepLearningZeroToAll","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhunkim%2FDeepLearningZeroToAll","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhunkim%2FDeepLearningZeroToAll/lists"}