{"id":13714360,"url":"https://github.com/ahangchen/GDLnotes","last_synced_at":"2025-05-07T01:33:34.678Z","repository":{"id":93490496,"uuid":"58301920","full_name":"ahangchen/GDLnotes","owner":"ahangchen","description":"Google Deep Learning Notes（TensorFlow教程）","archived":false,"fork":false,"pushed_at":"2022-11-01T05:05:57.000Z","size":10708,"stargazers_count":1489,"open_issues_count":8,"forks_count":477,"subscribers_count":148,"default_branch":"master","last_synced_at":"2025-04-08T13:07:58.267Z","etag":null,"topics":["deep-learning","machine-learning","tensorflow"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ahangchen.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE.md","code_of_conduct":"CODE_OF_CONDUCT.md","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":"2016-05-08T07:45:57.000Z","updated_at":"2025-04-05T01:32:55.000Z","dependencies_parsed_at":"2023-04-04T18:15:54.196Z","dependency_job_id":null,"html_url":"https://github.com/ahangchen/GDLnotes","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/ahangchen%2FGDLnotes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ahangchen%2FGDLnotes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ahangchen%2FGDLnotes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ahangchen%2FGDLnotes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ahangchen","download_url":"https://codeload.github.com/ahangchen/GDLnotes/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252796084,"owners_count":21805495,"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":["deep-learning","machine-learning","tensorflow"],"created_at":"2024-08-02T23:01:57.887Z","updated_at":"2025-05-07T01:33:33.907Z","avatar_url":"https://github.com/ahangchen.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# Google Deep Learning Notes\n\n![CC-BY-NC-ND](http://opentf.github.io/GuokrBadge/cc/gs/cc_byncnd.flat.guokr.32.svg)\n\n一点小建议：框架是工具，工具固然重要，要在机器学习与人工智能领域取得成就，必须打好[基础](https://github.com/ahangchen/windy-afternoon/tree/master/ml/melon)，多看[论文](https://github.com/ahangchen/windy-afternoon/tree/master/ml/papers)，多做[实验](https://github.com/ahangchen/keras-dogs)，缺一不可。\n\n- Google 深度学习笔记\n- Github工程地址：https://github.com/ahangchen/GDLnotes\n- 欢迎star，有问题可以到[Issue区](https://github.com/ahangchen/GDLnotes/issues)讨论\n- 官方教程[地址](https://classroom.udacity.com/courses/ud730/lessons/6370362152/concepts/63798118170923)\n- [视频](http://d2uz2655q5g6b2.cloudfront.net/6370362152/L1%20Machine%20Learning%20to%20Deep%20Learning%20Videos.zip)/[字幕](http://d2uz2655q5g6b2.cloudfront.net/6370362152/L1%20Machine%20Learning%20to%20Deep%20Learning%20Subtitles.zip)下载\n\n\n\u003e 教程已重构兼容TensorFlow 1.2 \n\n框架： TensorFlow （[安装踩坑日志](https://github.com/ahangchen/GDLnotes/tree/master/note/tensorflow/install.md)）\n\n\u003e 谷歌家的深度学习框架，有Python,C++的API\n\n工具：Pycharm\n\n笔记列表\n- Lesson 1 [Machine Learning to Deep Learning](note/lesson-1/README.md)\n    \n    - [Logistic Classification](note/lesson-1/logistic_classify.md)\n    - [Logistic Classification实践](note/lesson-1/practical.md)\n    - [Stochastic Optimization](note/lesson-1/Stochastic_Optimization.md)\n\n    \n- Lesson 2 [Deep Neural Network](note/lesson-2/README.md)\n    - [Limit of Linear Model](note/lesson-2/limit_linear.md)\n    - [Neural network](note/lesson-2/neural_network.md)\n    - [神经网络实践](note/lesson-2/neural_practical.md)\n    - 优化神经网络：[Deep Network](note/lesson-2/deep_network.md)\n    - [深度神经网络实践](note/lesson-2/deep_network_practice.md)\n    \n- Lesson 3 [Convolutional Networks](note/lesson-3/README.md)\n  - [卷积神经网络实践](note/lesson-3/practice.md)\n    \n- Lessson 4 [Deep Models for Text and Sequence](note/lesson-4/README.md)\n  - Challenge\n  - Model\n  - Sequence\n  - [循环神经网络实践](note/lesson-4/rnn_practice.md)\n    \n\n附录：\n- [NumPy笔记](note/numpy/README.md)（待完善）\n- [matplotlib笔记](note/matplotlib/README.md)（待完善）\n- [sklearn笔记](note/sklearn/README.md)（待完善）\n- [TensorFlow笔记](note/tensorflow/README.md)\n\n整理了周志华老师西瓜书中的[概念](https://github.com/ahangchen/windy-afternoon/blob/master/ml/melon_concepts.md)，基础是非常重要的一环，感兴趣的同学可以看看。\n\n\u003e 觉得我的文章对您有帮助的话，就给个[star](https://github.com/ahangchen/GDLnotes)吧～\n\n攒钱买四路1080ti台式机ing\n\n\u003cimg src=\"res/wxmoney.jpg\" width = \"400\" height = \"400\" alt=\"图片名称\" align=center /\u003e\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahangchen%2FGDLnotes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fahangchen%2FGDLnotes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fahangchen%2FGDLnotes/lists"}