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李宏毅2021机器学习深度学习笔记PPT作业
| Date | Stars |
|---|---|
| 2026-07-31 | 608 |
| 2026-08-06 | 608 |
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### 李宏毅老师2021年春季机器学习深度学习上线新课程，持续更新中 > PPT，作业代码，学习笔记，上课代码，tensorflow|pytorch将会上传到github，欢迎Star，请多多鼓励。 **如何下载本库内容** - 下载方式 1 > git工具下载 git clone https://github.com/wolfparticle/machineLearningDeepLearning.git - 下载方式 2 > 网页下载 <img src="https://ai360.oss-cn-beijing.aliyuncs.com/blog/image-20210306075935050.png" style="zoom:30%;" /> --- ### 更新记录 #### <font size=5>PPT部分</font> 路径：machineLearningDeepLearning/ppt ##### <font size=3>该课程所有ppt已更新完毕</font> --- #### <font size=5>Video部分 </font> ##### <font size=3>课程视频已更新完毕</font> https://www.bilibili.com/video/BV1zA411K7en?p=52 --- #### <font size=5>HomeWork部分</font> 路径：machineLearningDeepLearning/homework_code ##### <font size=3>课程介绍</font> > ppt  ##### <font size=3>第一章</font>  > google colab 使用录屏：https://www.bilibili.com/video/BV1zA411K7en?p=7 > hw1的数据字段含义解释参考网址 https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/fb-survey.html#mental-health-indicators https://delphi.cmu.edu/covidcast/survey-results/?date=20210221 更新了个人写的参考代码 ##### <font size=3>第二章</font> 第二章参考代码已更新，解压之后直接运行run.py文件或者运行ipynb文件  ##### <font size=3>第三~十四章</font> 已更新代码和数据集 --- #### <font size=5>Notes 部分 </font> 路径：machineLearningDeepLearning/Notes ##### <font size=3>很抱歉，这部分个人还未更新</font> --- #### <font size=5>Data 部分</font> 路径：machineLearningDeepLearning/data ##### <font size=3>所有作业数据在百度网盘</font> 数据集较大，百度网盘取 > 链接：https://pan.baidu.com/s/1Zjwvv8JMmadPNYgTNN4LCw > 提取码：hw21 > 复制这段内容后打开百度网盘手机App，操作更方便哦--来自百度网盘超级会员V4的分享 ##### --- #### <font size=5>ClassCode部分</font> 路径：machineLearningDeepLearning/class_code ##### <font size=3>抱歉，本人还未更新</font> --- ### 学习小组 > 微信打卡群，第一时间订阅更新，PPT，作业共享，学习笔记分享，加我微信时务必添加备注，备注格式为，昵称-学生-学校-研究方向 or 昵称-工作-公司-职位方向 <img src="https://ai360.oss-cn-beijing.aliyuncs.com/blog/image-20210306072233264.png" style="zoom:43%;" /> --- ### 下载同时请顺便点个Star 
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:d3bf389dbc48de12, llm:Description: '李宏毅2021机器学习深度学习笔记PPT作业' (course notes/homework for Machine Learning & Deep Learning by Li Hongyi). Language: Jupyter Notebook.