Update HW10

README.md

@@ -45,6 +45,7 @@ ppt/pdf支持直链下载。
 |2022/04/16|更新HW7|
 |2022/04/23|更新HW8|
 |2022/04/30|更新Lecture 9 & Lecture10，HW9|
+|2022/05/06|更新HW10|
 
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@@ -77,7 +78,7 @@ ppt/pdf支持直链下载。
 |Lecture 7|[自监督学习（一）芝麻街与进击的巨人](https://www.bilibili.com/video/BV1Wv411h7kN?p=71)<br/>[自监督学习（二）BERT简介](https://www.bilibili.com/video/BV1Wv411h7kN?p=72)<br/>[自监督学习（三）BERT的奇闻轶事](https://www.bilibili.com/video/BV1Wv411h7kN?p=73)<br/>[自监督学习（四）GPT的野望](https://www.bilibili.com/video/BV1Wv411h7kN?p=74)|Video:<br/>[如何有效的使用自督导式模型](https://www.bilibili.com/video/BV1Wv411h7kN?p=75)<br/>[语音与影像上的神奇自督导式学习模型](https://www.bilibili.com/video/BV1Wv411h7kN?p=76)<br/><br/>PDF:<br/>[Recent Advance of Self-supervied learning for NLP](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/PLM.pdf)<br/>[SSL for Speech and Image](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/SSL_speech_image%20(v9).pdf)|[BERT (part 1)](https://www.bilibili.com/video/BV1Wv411h7kN?p=77)<br/>[BERT (part 2)](https://www.bilibili.com/video/BV1Wv411h7kN?p=78)<br/>[GPT-3](https://www.bilibili.com/video/BV1Wv411h7kN?p=80)|[Video](https://www.bilibili.com/video/BV1Wv411h7kN?p=82)<br/>[Slide](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/hw7_slides.pdf)<br/>[Code](https://colab.research.google.com/drive/1QloQ42zYwX_ETAs2GIkeh8qFj0UjHXfH?usp=sharing)<br/>[Submission](https://www.kaggle.com/c/ml2022spring-hw7)|
 |Lecture 8|[自编码器 (Auto-encoder) (上) – 基本概念](https://www.bilibili.com/video/BV1Wv411h7kN?p=83)<br/>[自编码器 (Auto-encoder) (下) – 领结变声器与更多应用](https://www.bilibili.com/video/BV1Wv411h7kN?p=84)<br/>[Anomaly Detection (1_7)](https://www.bilibili.com/video/BV1Wv411h7kN?p=85)<br/>[Anomaly Detection (2_7)](https://www.bilibili.com/video/BV1Wv411h7kN?p=86)<br/>[Anomaly Detection (3_7)](https://www.bilibili.com/video/BV1Wv411h7kN?p=87)<br/>[Anomaly Detection (4_7)](https://www.bilibili.com/video/BV1Wv411h7kN?p=88)<br/>[Anomaly Detection (5_7)](https://www.bilibili.com/video/BV1Wv411h7kN?p=89)<br/>[Anomaly Detection (6_7)](https://www.bilibili.com/video/BV1Wv411h7kN?p=90)<br/>[Anomaly Detection (7_7)](https://www.bilibili.com/video/BV1Wv411h7kN?p=91)|Video:<br/>[None]<br/><br/>PDF:<br/>[None]<br/>|[PCA](https://www.bilibili.com/video/BV1Wv411h7kN?p=92)<br/>[t-SNE](https://www.bilibili.com/video/BV1Wv411h7kN?p=93)|[Video](https://www.bilibili.com/video/BV1Wv411h7kN?p=95)<br/>[Slide](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/Machine%20Learning%20Homework%208%20Anomaly%20Detection.pdf)<br/>[Code](https://colab.research.google.com/drive/16J23Uqkclro8zvp5Y1EXFtEWOvMA9YXC#scrollTo=JoW1UrrxgI_U)<br/>[Submission](https://www.kaggle.com/competitions/ml2022spring-hw8/)|
 |Lecture 9|[机器学习的可解释性 (上) – 为什么神经网络可以正确分辨宝可梦和数码宝贝](https://www.bilibili.com/video/BV1Wv411h7kN?p=96)<br/>[机器学习的可解释性  (下) –机器心中的猫长什么样子](https://www.bilibili.com/video/BV1Wv411h7kN?p=77)|Video:<br/>[自然语言处理上的对抗式攻击 Part1](https://www.bilibili.com/video/BV1Wv411h7kN?p=98)<br/><br/>PDF:<br/>[Adversarial Attack for NLP](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/Attacks-in-NLP-Draft.pdf)<br/>|[None]|[Video](https://www.bilibili.com/video/BV1Wv411h7kN?p=100)<br/>[Slide](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/Machine%20Learning%20HW9.pdf)<br/>[Code](https://colab.research.google.com/drive/1DvQX9apokZHZNfZeG7brJS6XbsGpPFYU?usp=sharing)|
-|Lecture 10|[来自人类的恶意攻击 (Adversarial Attack) (上) – 基本概念](https://www.bilibili.com/video/BV1Wv411h7kN?p=101)<br/>[2021 - 来自人类的恶意攻击 (Adversarial Attack) (下) – 类神经网络能否躲过人类深不见底的恶意](https://www.bilibili.com/video/BV1Wv411h7kN?p=102)|Video:<br/>[自然语言处理上的对抗式攻击 Part2](https://www.bilibili.com/video/BV1Wv411h7kN?p=103)<br/><br/>PDF:<br/>[Adversarial Attack for NLP](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/Attacks-in-NLP-Draft.pdf)|[More about Adversarial Attack (1_2)](https://www.bilibili.com/video/BV1Wv411h7kN?p=104)<br/>[More about Adversarial Attack (2_2)](https://www.bilibili.com/video/BV1Wv411h7kN?p=105)|[Video]<br/>[Slide]<br/>[Code]<br/>[Submission]|
+|Lecture 10|[来自人类的恶意攻击 (Adversarial Attack) (上) – 基本概念](https://www.bilibili.com/video/BV1Wv411h7kN?p=101)<br/>[2021 - 来自人类的恶意攻击 (Adversarial Attack) (下) – 类神经网络能否躲过人类深不见底的恶意](https://www.bilibili.com/video/BV1Wv411h7kN?p=102)|Video:<br/>[自然语言处理上的对抗式攻击 Part2](https://www.bilibili.com/video/BV1Wv411h7kN?p=103)<br/><br/>PDF:<br/>[Adversarial Attack for NLP](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/Attacks-in-NLP-Draft.pdf)|[More about Adversarial Attack (1_2)](https://www.bilibili.com/video/BV1Wv411h7kN?p=104)<br/>[More about Adversarial Attack (2_2)](https://www.bilibili.com/video/BV1Wv411h7kN?p=105)|[Video](https://www.bilibili.com/video/BV1Wv411h7kN?p=109)<br/>[Slide](https://speech.ee.ntu.edu.tw/~hylee/ml/ml2022-course-data/Machine%20Learning%20HW10%20Adversarial%20Attack.pdf)<br/>[Code](https://colab.research.google.com/drive/1BcYS4bAInDCTo4Ilsc6w4o_SEoFTuHSO?usp=sharing)<br/>[Submission](https://ml.ee.ntu.edu.tw/hw10/)|
 
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