協助改善 TensorFlow
透過集合功能整理內容
你可以依據偏好儲存及分類內容。
TensorFlow 生態系統需要有社群的貢獻才能持續發展。非常感謝你的熱心參與和付出,以及你所做出的每一分貢獻!
貢獻者和維護者皆致力於營造開放且友善的環境,讓各種年齡、體態、身心障礙、族裔、性別認同與性別表達、經歷、國籍、個人外貌、種族、宗教,或是性別認同與性傾向的任何人在參與我們的專案和社群時,不會受到騷擾。
以下列舉幾個有助於營造正面環境的行為:
- 使用友善和包容的言語。
- 尊重不同的觀點和經驗。
- 有禮貌地接受建設性批評。
- 建立最適合社群的內容。
- 運用同理心對待其他社群成員。
我們會依據技術上的好處和參與者的共識來做決定。TensorFlow 社群期望每個人的意見都能受到同等重視,參與者的每一分貢獻也都能受到重視。如要進一步瞭解 TensorFlow 社群的最佳做法,請參閱我們的行為準則。
開始貢獻
為 TensorFlow 盡一份心力的方法有很多種!你可以提供程式碼、改善 TensorFlow API 說明文件,或是將 Jupyter 筆記本新增至 tensorflow/examples 存放區。這份指南為你提供了所有需要的資訊,協助你踏出第一步。最常見的貢獻方法包括撰寫程式碼、改善說明文件和提供社群支援。
TensorFlow 最初是由 Google AI 部門的 Google Brain 團隊研究人員和工程師所開發。Google 開放了 TensorFlow 的原始碼,希望藉此向外部社群分享相關技術,並促進研究人員與產業之間的合作。時至今日,TensorFlow 已成為在多個平台上蓬勃發展的產品生態系統。但我們的目標始終是普及機器學習,讓全世界的人都能接觸這項技術。
除非另有註明,否則本頁面中的內容是採用創用 CC 姓名標示 4.0 授權,程式碼範例則為阿帕契 2.0 授權。詳情請參閱《Google Developers 網站政策》。Java 是 Oracle 和/或其關聯企業的註冊商標。
上次更新時間:2021-02-05 (世界標準時間)。
[null,null,["上次更新時間:2021-02-05 (世界標準時間)。"],[],[],null,["# Contribute to TensorFlow\n\n\u003cbr /\u003e\n\nThe TensorFlow ecosystem can only grow through the contributions of this\ncommunity. Thanks so much for your enthusiasm and your work---we appreciate\neverything you do!\n\nCommunity values\n----------------\n\nIn the interest of fostering an open and welcoming environment, contributors and\nmaintainers pledge to make participation in our project and our community a\nharassment-free experience for everyone---regardless of age, body size,\ndisability, ethnicity, gender identity and expression, level of experience,\nnationality, personal appearance, race, religion, or sexual identity and\norientation.\n\nExamples of behaviors that contribute to creating a positive environment\ninclude:\n\n- Use welcome and inclusive language.\n- Be respectful of differing viewpoints and experiences.\n- Gracefully accept constructive criticism.\n- Foster what's best for the community.\n- Show empathy for other community members.\n\nDecisions are made based on technical merit and consensus. The TensorFlow\ncommunity aspires to treat everyone equally, and to value all contributions. For\nmore information on best practices in the TensorFlow community, please review\nour\n[Code of Conduct](https://github.com/tensorflow/tensorflow/blob/master/CODE_OF_CONDUCT.md).\n\nMake your first contribution\n----------------------------\n\nThere are many ways to contribute to TensorFlow! You can contribute code, make\nimprovements to the TensorFlow API documentation, or add your Jupyter notebooks\nto the [tensorflow/examples](http://www.github.com/tensorflow/examples) repo.\nThis guide provides everything you need to get started. Our most common\ncontributions include *code* , *documentation* , and *community support*.\n\n- [Write code](/community/contribute/code).\n- [Improve tests](/community/contribute/tests).\n- [Improve documentation](/community/contribute/docs).\n- Answer questions on [Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow).\n- Participate in the discussion on our [mailing lists](../mailing-lists).\n- Contribute [example notebooks](http://www.github.com/tensorflow/examples).\n- Investigate [bugs and issues](https://github.com/tensorflow/tensorflow/issues) on GitHub.\n- Review and comment on [pull requests](https://github.com/tensorflow/tensorflow/pulls) from other developers.\n- [Report an issue](https://github.com/tensorflow/tensorflow/issues/new/choose).\n- Give a \"thumbs up\" 👍 on issues that are relevant to you.\n- Reference TensorFlow in your blogs, papers, and articles.\n- Talk about TensorFlow on social media.\n- ... even just starring/forking the repos you like on GitHub!\n\nTensorFlow was originally developed by researchers and engineers from the Google\nBrain team within [Google's AI organization](https://ai.google/). Google open\nsourced TensorFlow in the hope of sharing technology with the external community\nand encouraging collaboration between researchers and industry. Since then,\nTensorFlow has grown into a thriving ecosystem of products, on a wide range of\nplatforms. But our goal is still to make machine learning accessible to anyone,\nanywhere."]]