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+# CS231n: CNN for Visual Recognition
+
+## Course Introduction
+
+- Affiliated Universities：Stanford
+- Prerequisites: Foundations of Machine Learning
+- Programming Languages：Python
+- Course Difficulty：🌟🌟🌟🌟
+- Estimated hours: 80 hours
+
+Stanford's CV introductory class, led by the giant of the computer field, Fei-Fei Li (the research team of the epoch-making famous dataset ImageNet in CV field), but its content is relatively basic and friendly, if you have taken CS230, you can directly start the Project as practice.
+
+## Course Resources
+
+- Course Website：<http://cs231n.stanford.edu/>
+- Course Video：<https://www.bilibili.com/video/BV1nJ411z7fe>
+- Course Materials: None
+- Coursework：<http://cs231n.stanford.edu/schedule.html>，3 Programming Assignments

docs/深度学习/CS231.md

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-# CS231n: CNN for Visual Recognition
-
-## 课程简介
-
-- 所属大学：Stanford
-- 先修要求：机器学习基础
-- 编程语言：Python
-- 课程难度：🌟🌟🌟🌟
-- 预计学时：80 小时
-
-Stanford 的 CV 入门课，由计算机领域的巨佬李飞飞院士领衔教授（CV 领域划时代的著名数据集 ImageNet 的研究团队），但其内容相对基础且友好，如果上过 CS230 的话可以直接上手 Project 作为练习。
-
-## 课程资源
-
-- 课程网站：<http://cs231n.stanford.edu/>
-- 课程视频：<https://www.bilibili.com/video/BV1nJ411z7fe>
-- 课程教材：无
-- 课程作业：<http://cs231n.stanford.edu/schedule.html>，3个编程作业