Update L3 video

README.md

@@ -57,7 +57,7 @@ ppt/pdf支持直链下载。
 |章节|2021前置知识|2022补充|选修|作业|
 |---|---|---|---|---|
 |Lecture 1|[（上）机器学习基本概念简介](https://www.bilibili.com/video/BV1Wv411h7kN?p=3)<br/>[（下）机器学习基本概念简介](https://www.bilibili.com/video/BV1Wv411h7kN?p=4)|Video:<br/>[2022-机器学习相关规定](https://www.bilibili.com/video/BV1Wv411h7kN?p=1)<br/>[2022-Colab教学](https://www.bilibili.com/video/BV1Wv411h7kN?p=5)<br/>[2022-Pytorch Tutorial 1](https://www.bilibili.com/video/BV1Wv411h7kN?p=6)<br/>[2022-Pytorch Tutorial 2](https://www.bilibili.com/video/BV1Wv411h7kN?p=7)<br/><br/>PDF:<br/>[Rules](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/rule%20(v2).pdf)<br/>[Chinese class course intro](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/introduction%20(v2).pdf)<br/>[Pytorch Tutorial 1](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/Pytorch%20Tutorial%201.pdf)<br/>[Pytorch Tutorial 2](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/Pytorch%20Tutorial%202.pdf)<br/>[Colab Tutorial](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/Colab%20Tutorial%202022.pdf)<br/>[Environment Setup](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/EnvironmentSetup.pdf)|[深度学习简介](https://www.bilibili.com/video/BV1Wv411h7kN?p=13)<br/>[反向传播](https://www.bilibili.com/video/BV1Wv411h7kN?p=14)<br/>[预测-宝可梦](https://www.bilibili.com/video/BV1Wv411h7kN?p=15)<br/>[分类-宝可梦](https://www.bilibili.com/video/BV1Wv411h7kN?p=16)<br/>[逻辑回归](https://www.bilibili.com/video/BV1Wv411h7kN?p=17)|[Video](https://www.bilibili.com/video/BV1Wv411h7kN?p=11)<br/>[Slide](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/HW01.pdf)<br/>[Code](https://colab.research.google.com/drive/1FTcG6CE-HILnvFztEFKdauMlPKfQvm5Z#scrollTo=YdttVRkAfu2t)<br/>[Submission](https://www.kaggle.com/t/a3ebd5b5542f0f55e828d4f00de8e59a)|
-|Lecture 2|[（一）局部最小值 (local minima) 与鞍点 (saddle point)](https://www.bilibili.com/video/BV1Wv411h7kN?p=20)<br/>[（二）批次 (batch) 与动量 (momentum)](https://www.bilibili.com/video/BV1Wv411h7kN?p=21)<br/>[（三）自动调整学习率 (Learning Rate)](https://www.bilibili.com/video/BV1Wv411h7kN?p=22)<br/>[（四）损失函数 (Loss) 也可能有影响](https://www.bilibili.com/video/BV1Wv411h7kN?p=23)|Video:<br/>[2022-再探宝可梦、数码宝贝分类器 — 浅谈机器学习原理](https://www.bilibili.com/video/BV1Wv411h7kN?p=19)<br/><br/>PDF:<br/>[Theory](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/theory%20(v7).pdf)|[Gradient Descent (Demo by AOE)](https://www.bilibili.com/video/BV1Wv411h7kN?p=24)<br/>[ Beyond Adam (part 1)](https://www.bilibili.com/video/BV1Wv411h7kN?p=26)<br/>[ Beyond Adam (part 2)](https://www.bilibili.com/video/BV1Wv411h7kN?p=27)|[Video](https://www.bilibili.com/video/BV1Wv411h7kN?p=28)<br/>[Slide](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/hw2_slides%202022.pdf)<br/>[Code](https://colab.research.google.com/drive/1hmTFJ8hdcnqRz_0oJSXjTGhZLVU-bS1a?usp=sharing)<br/>[Submission](https://www.kaggle.com/c/ml2022spring-hw2)|
-|Lecture 3|[卷积神经网络CNN](https://www.bilibili.com/video/BV1Wv411h7kN?p=31)|Video:<br/>[-]<br/><br/>PDF:<br/>[Validation](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/validation.pdf)<br/>[Why Deep](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/whydeep%20(v3).pdf)|[RNN(part 1)](https://www.bilibili.com/video/BV1Wv411h7kN?p=32)<br/>[RNN(part 2)](https://www.bilibili.com/video/BV1Wv411h7kN?p=33)<br/>[GNN(part 1)](https://www.bilibili.com/video/BV1Wv411h7kN?p=34)<br/>[GNN(part 2)](https://www.bilibili.com/video/BV1Wv411h7kN?p=35)|[Video](https://www.bilibili.com/video/BV1Wv411h7kN?p=36)<br/>[Slide](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/Machine%20Learning%20HW3%20-%20Image%20Classification.pdf)<br/>[Code](https://colab.research.google.com/drive/15hMu9YiYjE_6HY99UXon2vKGk2KwugWu)<br/>[Submission](https://www.kaggle.com/c/ml2022spring-hw3b)|
+|Lecture 2|[（一）局部最小值 (local minima) 与鞍点 (saddle point)](https://www.bilibili.com/video/BV1Wv411h7kN?p=19)<br/>[（二）批次 (batch) 与动量 (momentum)](https://www.bilibili.com/video/BV1Wv411h7kN?p=20)<br/>[（三）自动调整学习率 (Learning Rate)](https://www.bilibili.com/video/BV1Wv411h7kN?p=21)<br/>[（四）损失函数 (Loss) 也可能有影响](https://www.bilibili.com/video/BV1Wv411h7kN?p=22)|Video:<br/>[2022-再探宝可梦、数码宝贝分类器 — 浅谈机器学习原理](https://www.bilibili.com/video/BV1Wv411h7kN?p=23)<br/><br/>PDF:<br/>[Theory](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/theory%20(v7).pdf)|[Gradient Descent (Demo by AOE)](https://www.bilibili.com/video/BV1Wv411h7kN?p=24)<br/>[ Beyond Adam (part 1)](https://www.bilibili.com/video/BV1Wv411h7kN?p=26)<br/>[ Beyond Adam (part 2)](https://www.bilibili.com/video/BV1Wv411h7kN?p=27)|[Video](https://www.bilibili.com/video/BV1Wv411h7kN?p=28)<br/>[Slide](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/hw2_slides%202022.pdf)<br/>[Code](https://colab.research.google.com/drive/1hmTFJ8hdcnqRz_0oJSXjTGhZLVU-bS1a?usp=sharing)<br/>[Submission](https://www.kaggle.com/c/ml2022spring-hw2)|
+|Lecture 3|[卷积神经网络CNN](https://www.bilibili.com/video/BV1Wv411h7kN?p=31)|Video:<br/>[为什么用了验证集还是过拟合](https://www.bilibili.com/video/BV1Wv411h7kN?p=32)<br/>[鱼与熊掌可以兼得的机器学习](https://www.bilibili.com/video/BV1Wv411h7kN?p=33)<br/><br/>PDF:<br/>[Validation](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/validation.pdf)<br/>[Why Deep](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/whydeep%20(v3).pdf)|[RNN(part 1)](https://www.bilibili.com/video/BV1Wv411h7kN?p=34)<br/>[RNN(part 2)](https://www.bilibili.com/video/BV1Wv411h7kN?p=35)<br/>[GNN(part 1)](https://www.bilibili.com/video/BV1Wv411h7kN?p=36)<br/>[GNN(part 2)](https://www.bilibili.com/video/BV1Wv411h7kN?p=37)|[Video](https://www.bilibili.com/video/BV1Wv411h7kN?p=38)<br/>[Slide](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/Machine%20Learning%20HW3%20-%20Image%20Classification.pdf)<br/>[Code](https://colab.research.google.com/drive/15hMu9YiYjE_6HY99UXon2vKGk2KwugWu)<br/>[Submission](https://www.kaggle.com/c/ml2022spring-hw3b)|
 
 ****