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docs/深度学习/CS25.en.md

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+# CS25: Transformers United
+
+
+## Course Overview
+
+- University: Stanford
+- Prerequisites: Deep Learning
+- Programming Language: None
+- Course Difficulty: 🌟🌟
+- Estimated Hours: 20 hours
+
+CS25 is a seminar class where researchers are invited to discuss the latest results on Transformers, there is no homework, and videos of the class are posted on Youtube. We invite the coolest speakers such as Andrej Karpathy, Geoffrey Hinton, Jim Fan, Ashish Vaswani, and folks from OpenAI, Google, NVIDIA, etc. CS25 has been offered four times, each time with a different content.
+
+
+## Course Resources
+
+- Course Website: <https://web.stanford.edu/class/cs25/index.html>
+- Course Videos: <https://www.youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM>
+- Course Textbook: None
+- Course Assignments: None

docs/深度学习/CS25.md

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+# CS25: Transformers United
+
+
+## 课程简介
+
+- 所属大学：Stanford
+- 先修要求：深度学习
+- 编程语言：无
+- 课程难度：🌟🌟
+- 预计学时：20 小时
+
+CS25 是一门研讨课，每节课会邀请研究人员讨论有关 Transformers 的最新成果，没有作业，课程录像都会放到 Youtube 上。这门课邀请过 Andrej Karpathy、Geoffrey Hinton、Jim Fan、Ashish Vaswani 以及来自 OpenAI、Google、NVIDIA 等公司的人员。CS25 已经开了4次，每次的内容都不同。
+
+
+## 课程资源
+
+- 课程网站：<https://web.stanford.edu/class/cs25/index.html>
+- 课程视频：<https://www.youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM>
+- 课程教材：无
+- 课程作业：无