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README
Apache-2.0

微软人工智能教育与学习共建社区

本社区是微软亚洲研究院(Microsoft Research Asia,简称MSRA)人工智能教育团队创立的人工智能教育与学习共建社区.

在教育部指导下,依托于新一代人工智能开放科研教育平台,微软亚洲研究院研发团队和学术合作部将为本社区提供全面支持。我们将在此提供人工智能应用开发的真实案例,以及配套的教程、工具等学习资源,人工智能领域的一线教师及学习者也将分享他们的资源与经验。

正如微软的使命“予力全球每一人、每一组织,成就不凡”所指出的,期待借由本社区的建立,能以开源的方式,与广大师生、开发者一起学习、一起贡献,共同丰富、完善本社区,既而为中国人工智能的发展添砖加瓦。

本社区注明版权出处的内容适用于License版权许可。

使用说明

本共建资源分为若干模块。每个模块都支持开发者向其共建新内容。请参照 CONTRIBUTING.md 了解如何共建内容。

各模块内容和适用人群概述如下:

A:教学课程

  • 内容:包含微软及多个高校开源分享的人工智能教学大纲,课件。
  • 适用人群:
    • 有意开设高校人工智能课程的老师。
    • 希望系统化了解高校人工智能学习大纲的学习者。

B:教学案例与实践

  • 内容:包含微软及共建者开源分享的人工智能案例资源,包含案例、源代码、文档、教学视频等。
  • 适用人群:
    • 有意开设人工智能课程的教师。
    • 有意进行人工智能应用开发的学习者

C:开发工具与环境

  • 内容:人工智能学习中需要用到的开发工具与环境搭建教程。
  • 适用人群:有意进行人工智能应用开发的学习者和有意开设人工智能课程的教师。

D:答疑与交流

  • 内容:人工智能学习中的常见问题及微软团队或者共建者的回答。
  • 适用人群:一线教学教师及有意进行人工智能应用开发的学习者。

E:等你来战

  • 内容:人工智能相关课程的作业以及人工智能应用开发中需要共建者贡献代码解决的问题与挑战。
  • 适用人群:
    • 发布者:人工智能教学者,可发布作业及习题;人工智能应用开发者、学习者,可发布需要应战者贡献代码解决的问题。
    • 应战者:具有一定人工智能应用开发、数据模型训练基础,希望展现身手的朋友。

目录结构

# 仔细阅读以下声明: # Tutorial Materials: For Tutorial Materials marked with Microsoft copyright notice, following license applies: Microsoft Terms of Use Copyright © Microsoft Corporation. All rights reserved. Permission to use Tutorial Materials is granted, provided that (1) the below copyright notice appears in all copies of Tutorial Materials and that both the copyright notice and this permission notice appear, (2) use of such Tutorial Materials is for non-commercial or personal use only without monetization. Use for any other purpose is expressly prohibited by law, and may result in severe civil and criminal penalties. Violators will be prosecuted to the maximum extent possible. MICROSOFT AND/OR ITS RESPECTIVE SUPPLIERS MAKE NO REPRESENTATIONS ABOUT THE SUITABILITY OF THE INFORMATION CONTAINED IN THE TUTORIAL MATERIALS AND RELATED GRAPHICS PUBLISHED FOR ANY PURPOSE. ALL SUCH TUTORIAL MATERIALS AND RELATED GRAPHICS ARE PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. MICROSOFT AND/OR ITS RESPECTIVE SUPPLIERS HEREBY DISCLAIM ALL WARRANTIES AND CONDITIONS WITH REGARD TO THIS INFORMATION, INCLUDING ALL WARRANTIES AND CONDITIONS OF MERCHANTABILITY, WHETHER EXPRESS, IMPLIED OR STATUTORY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT SHALL MICROSOFT AND/OR ITS RESPECTIVE SUPPLIERS BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF INFORMATION AVAILABLE FROM THE SERVICES. THE TUTORIAL MATERIALS AND RELATED GRAPHICS PUBLISHED ON THE SERVICES COULD INCLUDE TECHNICAL INACCURACIES OR TYPOGRAPHICAL ERRORS. CHANGES ARE PERIODICALLY ADDED TO THE INFORMATION HEREIN. MICROSOFT AND/OR ITS RESPECTIVE SUPPLIERS MAY MAKE IMPROVEMENTS AND/OR CHANGES IN THE PRODUCT(S) AND/OR THE PROGRAM(S) DESCRIBED HEREIN AT ANY TIME. # Open Source Code - The script [mnist_extension.py](./B-教学案例与实践/B9-自构建-图像识别应用案例-手写算式计算器/微软-方案1/tensorflow_model/mnist_extension.py) is under [Apache 2.0 License](http://www.apache.org/licenses/LICENSE-2.0). Based on [Origin code](https://github.com/tensorflow/models/blob/f81bb397efe57cf8bfb4a195c1b3064997f3e3c2/tutorials/image/mnist/convolutional.py). - Except open source code listed above, other open source codes are under below MIT license: MIT License Copyright © Microsoft Corporation. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Contributing This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com. When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA. This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments. # Third Party Contents This site may include third party contents that are licensed to you under their own terms Any third party contents. Even if such contents are governed by other agreements, the disclaimer, limitations on, and exclusions of damages also apply to the extent allowed by applicable law.

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AI education materials for Chinese students, teachers and IT professionals. 展开 收起
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