# 矩阵求导

* [返回顶层目录](/machine-learning-notes/summary.md)
* [返回上层目录](/machine-learning-notes/linear-algebra.md)

矩阵求导术（上）

<https://zhuanlan.zhihu.com/p/24709748>

矩阵求导术（下）

<https://zhuanlan.zhihu.com/p/24863977>

评论：

网上有个pdf叫做The Matrix Cookbook.

机器学习中的矩阵/向量求导

<https://zhuanlan.zhihu.com/p/25063314>

评论：

本文和matrix cookbook，大概是教材和辞典的区别。跟着辞典学外语也不是不行，只是跟着教材学总归要容易很多。当然，在学到一定程度以后，还是查辞典方便，因为释义准确又方便查找。


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

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

```
GET https://luweikxy.gitbook.io/machine-learning-notes/linear-algebra/matrix-derivative.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.
