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@@ -56,6 +56,6 @@ ppt/pdf支持直链下载。 |
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|章节|2021前置知识|2022补充|选修|作业| |
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|章节|2021前置知识|2022补充|选修|作业| |
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|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)| |
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|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)| |
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|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<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)| |
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|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)| |
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