> For the complete documentation index, see [llms.txt](https://lichangbin.gitbook.io/paper_notes/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://lichangbin.gitbook.io/paper_notes/tutorials/gradient-descent.md).

# Gradient Descent

* <https://blog.csdn.net/weixin_40170902/article/details/80092628>

* <https://cloud.tencent.com/developer/article/1118673>

* <https://zhuanlan.zhihu.com/p/97873519>

* <https://zhuanlan.zhihu.com/p/147569674?utm_source=wechat_session&utm_medium=social&utm_oi=45678843658240>

* <https://towardsdatascience.com/a-visual-explanation-of-gradient-descent-methods-momentum-adagrad-rmsprop-adam-f898b102325c>

* <https://zhuanlan.zhihu.com/p/32230623>

* <https://blog.csdn.net/aws3217150/article/details/70214422>

* <https://zhuanlan.zhihu.com/p/114248570>

* <https://www.zhihu.com/question/354819140/answer/895186613>

* <http://gitlinux.net/2019-02-26-optimizers/#43-%E6%A2%AF%E5%BA%A6%E6%88%AA%E6%96%AD>

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