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# AI Course
根据实验室现有研究方向制定本教程。其中[深度学习基础速通](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A)是必须掌握的部分，进一步划分三个进阶方向，[强化学习](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A)、[图神经网络](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A)和[联邦学习](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A)。学习路线上首先深度学习基础知识速通是所有学习本教程的同学必须掌握的部分，这一部分教程已经制定的尽量基础以便快速上手，进阶部分可以自行选择学习。强化学习进阶与图神经网络进阶的教程主要以论文和项目为主。

## 基础知识速通
为简化学习内容，这一部分不介绍数学基础。教程以部分开放课程和教材以及代码示例为主
- **Python编程基础**(有Python基础的可以跳过这一部分)
  - [ ] [Python介绍与安装](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Python%E6%95%99%E7%A8%8B#python%E4%BB%8B%E7%BB%8D%E4%B8%8E%E5%AE%89%E8%A3%85)
  - [ ] [Python虚拟环境管理](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Python%E6%95%99%E7%A8%8B#python%E8%99%9A%E6%8B%9F%E7%8E%AF%E5%A2%83%E7%AE%A1%E7%90%86)
  - [ ] [代码编辑器](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Python%E6%95%99%E7%A8%8B#%E4%BB%A3%E7%A0%81%E7%BC%96%E8%BE%91%E5%99%A8)
  - [ ] [基础语法](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Python%E6%95%99%E7%A8%8B#%E7%AC%AC%E4%B8%80%E9%98%B6%E6%AE%B5%E5%9F%BA%E7%A1%80%E8%AF%AD%E6%B3%95)
  - [ ] [高阶特性(选学)](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Python%E6%95%99%E7%A8%8B#%E7%AC%AC%E4%BA%8C%E9%98%B6%E6%AE%B5%E9%AB%98%E9%98%B6%E7%89%B9%E6%80%A7)
  - [ ] [Python数据处理基础](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Python%E6%95%99%E7%A8%8B#%E7%AC%AC%E4%B8%89%E9%98%B6%E6%AE%B5%E6%95%B0%E6%8D%AE%E5%A4%84%E7%90%86)
- **机器学习基础**
  - [ ] [线性回归到神经网络](https://github.com/UNIC-Lab/AI_Course/blob/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Machine%20Learning%E6%95%99%E7%A8%8B/README.md#%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E5%88%B0%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C)
  - [ ] [传统机器学习算法(选学)](https://github.com/UNIC-Lab/AI_Course/blob/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Machine%20Learning%E6%95%99%E7%A8%8B/README.md#%E4%BC%A0%E7%BB%9F%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E7%AE%97%E6%B3%95)
  - [ ] [模型评估与调优](https://github.com/UNIC-Lab/AI_Course/blob/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Machine%20Learning%E6%95%99%E7%A8%8B/README.md#%E6%A8%A1%E5%9E%8B%E8%AF%84%E4%BC%B0%E4%B8%8E%E8%B0%83%E4%BC%98)
- **深度学习基础**
  - [ ] [Pytorch快速入门](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Deep%20Learning%E6%95%99%E7%A8%8B#pytorch%E5%BF%AB%E9%80%9F%E5%85%A5%E9%97%A8)
  - [ ] [卷积神经网络](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Deep%20Learning%E6%95%99%E7%A8%8B#%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C)
  - [ ] [循环神经网络](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Deep%20Learning%E6%95%99%E7%A8%8B#%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C)
  - [ ] [注意力机制](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Deep%20Learning%E6%95%99%E7%A8%8B#%E6%B3%A8%E6%84%8F%E5%8A%9B%E6%9C%BA%E5%88%B6)
  - [ ] [优化算法](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Deep%20Learning%E6%95%99%E7%A8%8B#%E4%BC%98%E5%8C%96%E7%AE%97%E6%B3%95)
  - [ ] [调参炼丹](https://github.com/UNIC-Lab/AI_Course/tree/main/%E5%9F%BA%E7%A1%80%E7%9F%A5%E8%AF%86%E9%80%9F%E9%80%9A/Deep%20Learning%E6%95%99%E7%A8%8B#%E8%B0%83%E5%8F%82%E7%82%BC%E4%B8%B9)
- [**强化学习入门**](https://www.bilibili.com/video/BV12o4y197US/?spm_id_from=333.337.search-card.all.click&vd_source=ef6bc9d073dccb208fb608bc99286677)

## 强化学习进阶
针对强化学习方向，推荐了一些强化学习的必读论文，有一定基础的情况下可以通过阅读论文或者相关讲解博客入门，否则推荐[SpinningUp项目教程](https://spinningup.qiwihui.com/zh_CN/latest/)或参照[《强化学习导论》](https://rl.qiwihui.com/zh_CN/latest/)入门。
## 图神经网络进阶
图神经网络的部分内容比较少，也比较简单，建议主要通过阅读所列出的论文学习。编程框架主要为PyG或者DGL，在有pytorch基础的情况下比较好上手，官方文档是最好的教材。
## 联邦学习进阶

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