# Tasks\_for\_Rookies

> [网页版](https://nkcvlab.gitbook.io/tasks_for_rookies)浏览效果更佳

欢迎来到[南开大学计算机视觉实验室](http://cv.nankai.edu.cn/)！

新手任务共分为如下几个部分：

* 科研规范篇
  * [学术邮件撰写](/tasks_for_rookies/code-of-conduct/academic-mail-writing.md)
* 科研能力篇
  * [机器学习与深度学习基础](/tasks_for_rookies/ability/ml-and-dl-fundamentals.md)
  * [文献搜集与特定领域发展情况总结](/tasks_for_rookies/ability/literature-collection-and-summary-of-fields.md)
  * [深度学习编程框架学习与算法实现](/tasks_for_rookies/ability/programming-learning.md)
  * [学术写作](/tasks_for_rookies/ability/academic-writing.md)

## ⭐ Star 历史

[![Star History Chart](https://api.star-history.com/svg?repos=NKvision428/Tasks_for_Rookies\&type=Date)](https://star-history.com/#NKvision428/Tasks_for_Rookies\&Date)


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# Agent Instructions: Querying This Documentation

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://nkcvlab.gitbook.io/tasks_for_rookies/readme.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.