{"id":23364075,"url":"https://github.com/rickiepark/do-it-dl","last_synced_at":"2025-07-28T02:05:56.255Z","repository":{"id":37684314,"uuid":"115474631","full_name":"rickiepark/do-it-dl","owner":"rickiepark","description":"\u003cDo it! 딥러닝 입문\u003e 도서의 주피터 노트북","archived":false,"fork":false,"pushed_at":"2022-01-09T12:42:00.000Z","size":197442,"stargazers_count":88,"open_issues_count":1,"forks_count":82,"subscribers_count":10,"default_branch":"master","last_synced_at":"2025-04-10T13:08:56.305Z","etag":null,"topics":["deep-learning","keras","machie-learning","neural-networks","python","scikit-learn","tensorflow"],"latest_commit_sha":null,"homepage":"https://tensorflow.blog/do-it-dl","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/rickiepark.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}},"created_at":"2017-12-27T02:54:58.000Z","updated_at":"2025-04-01T14:38:22.000Z","dependencies_parsed_at":"2022-07-10T18:00:48.187Z","dependency_job_id":null,"html_url":"https://github.com/rickiepark/do-it-dl","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/rickiepark/do-it-dl","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rickiepark%2Fdo-it-dl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rickiepark%2Fdo-it-dl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rickiepark%2Fdo-it-dl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rickiepark%2Fdo-it-dl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rickiepark","download_url":"https://codeload.github.com/rickiepark/do-it-dl/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rickiepark%2Fdo-it-dl/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267451489,"owners_count":24089312,"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","status":"online","status_checked_at":"2025-07-28T02:00:09.689Z","response_time":68,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["deep-learning","keras","machie-learning","neural-networks","python","scikit-learn","tensorflow"],"created_at":"2024-12-21T13:14:00.527Z","updated_at":"2025-07-28T02:05:56.228Z","avatar_url":"https://github.com/rickiepark.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Do it! 딥러닝 입문\n\n![커버이미지](cover.jpg)\n\n이 저장소는 이지스퍼블리싱에서 출간한 '[Do it! 딥러닝 입문](https://tensorflow.blog/do-it-dl/)'의 파이썬 코드를 담고 있습니다. 이 책은 오프라인/온라인 서점에서 구매할 수 있습니다.([교보문고](http://www.kyobobook.co.kr/product/detailViewKor.laf?ejkGb=KOR\u0026mallGb=KOR\u0026barcode=9791163031093), [Yes24](http://www.yes24.com/Product/Goods/78896574))\n\n## 동영상 강의\n\n이 책의 동영상 강의를 [유튜브](http://bit.ly/do-it-dl-video)와 [구름 에듀](https://edu.goorm.io/lecture/21177/%EC%A0%80%EC%9E%90-%EC%A7%81%EA%B0%95-do-it-%EB%94%A5%EB%9F%AC%EB%8B%9D-%EC%9E%85%EB%AC%B8)에서 볼 수 있습니다. 혼자 공부하시는 분들에게 도움이 되면 좋겠습니다. :-)\n\n[![Do it! 딥러닝 입문](http://img.youtube.com/vi/jg8zTIGDPss/0.jpg)](http://bit.ly/do-it-dl-video)\n\n## 주피터 노트북\n\n이 코드는 주피터 노트북으로 제공됩니다. nbviewer로 보거나 구글 코랩에서 실행할 수 있습니다.\n\n- 02 최소한의 도구로 딥러닝을 시작합니다 [nbviewer](https://nbviewer.jupyter.org/github/rickiepark/do-it-dl/blob/master/Ch02.ipynb), [colab](https://colab.research.google.com/github/rickiepark/do-it-dl/blob/master/Ch02.ipynb)\n- 03 머신러닝의 기초를 다집니다 ― 수치 예측 [nbviewer](https://nbviewer.jupyter.org/github/rickiepark/do-it-dl/blob/master/Ch03.ipynb), [colab](https://colab.research.google.com/github/rickiepark/do-it-dl/blob/master/Ch03.ipynb)\n- 04 분류하는 뉴런을 만듭니다 ― 이진 분류 [nbviewer](https://nbviewer.jupyter.org/github/rickiepark/do-it-dl/blob/master/Ch04.ipynb), [colab](https://colab.research.google.com/github/rickiepark/do-it-dl/blob/master/Ch04.ipynb)\n- 05 훈련 노하우를 배웁니다 [nbviewer](https://nbviewer.jupyter.org/github/rickiepark/do-it-dl/blob/master/Ch05.ipynb), [colab](https://colab.research.google.com/github/rickiepark/do-it-dl/blob/master/Ch05.ipynb)\n- 06 2개의 층을 연결합니다 ― 다층 신경망 [nbviewer](https://nbviewer.jupyter.org/github/rickiepark/do-it-dl/blob/master/Ch06.ipynb), [colab](https://colab.research.google.com/github/rickiepark/do-it-dl/blob/master/Ch06.ipynb)\n- 07 여러 개를 분류합니다 ― 다중 분류 [nbviewer](https://nbviewer.jupyter.org/github/rickiepark/do-it-dl/blob/master/Ch07.ipynb), [colab](https://colab.research.google.com/github/rickiepark/do-it-dl/blob/master/Ch07.ipynb)\n- 08 이미지를 분류합니다 ― 합성곱 신경망 [nbviewer](https://nbviewer.jupyter.org/github/rickiepark/do-it-dl/blob/master/Ch08.ipynb), [colab](https://colab.research.google.com/github/rickiepark/do-it-dl/blob/master/Ch08.ipynb)\n- 09 텍스트를 분류합니다 ― 순환 신경망 [nbviewer](https://nbviewer.jupyter.org/github/rickiepark/do-it-dl/blob/master/Ch09.ipynb), [colab](https://colab.research.google.com/github/rickiepark/do-it-dl/blob/master/Ch09.ipynb)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frickiepark%2Fdo-it-dl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frickiepark%2Fdo-it-dl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frickiepark%2Fdo-it-dl/lists"}