【《2021机器学习-李宏毅》学习笔记】
台湾大学李宏毅老师开设的《机器学习》近年来广受好评,成为国内众多深度学习/人工智能的学生/爱好者的 入门第一课。本文给出个人在学习过程中所做的笔记总结,希望能帮到大家。
文章目录
- 个人学习笔记
- 01-Regression
- 02.1-deeplearning-general_guidance
- 02.2-deeplearning-类神经网络优化技巧
- 02.3-deeplearning-loss_of_classification
- 03-CNN
- 04-Self-attention
- 05-Transformer
- 06-Generative_Model(GAN)
- 07-Self-Supervised_Learning(BERT)
- 08-Auto-encoder
- 09-Adversarial_Attack
- 10-Explainable_AI
- 11-Domain_Adaptation
- 12-Reinforcement_Learning(RL)
- 13-Life_Long_Learning(LLL)
- 14-Compression
- 15-Meta_Learning(元学习)
- 16-总结
简介
- 台湾大学李宏毅老师开设的《机器学习》近年来广受好评,成为国内众多深度学习/人工智能的学生/爱好者的 入门第一课。-虽然课程名叫“机器学习”,但是内容中传统机器学习并不多,主要还是深度学习的内容。
- 2021年,课程内容全面升级,课程网站、授课内容、进度安排、视频质量较先前的版本都有了较大的提升。
主要特点:- 英文PPT,中文讲授,既能够了解相关术语的英文表达,又不会在学习的时候因语言壁垒而出现困难。
- 课程讲解思路清晰、生动有趣、案例丰富、深入浅出,摒弃复杂的数学内容,集中展示“直观的认识”。
- 课程资料中保留了大量参考文献,适合于深耕某一领域的从业者,也保留了大量实用的样例代码,能够在简单地魔改以后应用到别的任务中,适合于各种水平层次的入门!
主要参考资料:
- 台大《机器学习》课程官网:https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html
- B站搬运视频:https://www.bilibili.com/video/BV1Wv411h7kN
- 其他参考资料:
- 课件和资料Github版:https://github.com/Fafa-DL/Lhy_Machine_Learning
- 课件和资料Gitee版:https://gitee.com/zzhzwh/Lhy_Machine_Learning
- 部分笔记:https://github.com/unclestrong/DeepLearning_LHY21_Notes
内容示意
个人学习笔记
鉴于个人习惯,本人将学习笔记记录在notion上。以下是跳转至各篇笔记的链接。
01-Regression
https://diamond-mule-bee.notion.site/01-Regression-db3f17ba626a43668e016d09d39e35e5
02.1-deeplearning-general_guidance
02.2-deeplearning-类神经网络优化技巧
https://diamond-mule-bee.notion.site/02-2-DeepLearning-25ed6d30c1ee446e964bbe2fddc5220f
02.3-deeplearning-loss_of_classification
03-CNN
https://diamond-mule-bee.notion.site/03-CNN-91e08c7b29e1446fb363f881f21f9287
04-Self-attention
https://diamond-mule-bee.notion.site/04-Self-attention-47c5c10105794b8f939b01c65885ef5b
05-Transformer
https://diamond-mule-bee.notion.site/05-Transformer-885ecb94414c436692f7bb12bdc609aa
06-Generative_Model(GAN)
https://diamond-mule-bee.notion.site/06-Generative-Model-GAN-b31049277b334c94b3dea56235700460
07-Self-Supervised_Learning(BERT)
08-Auto-encoder
https://diamond-mule-bee.notion.site/08-Auto-encoder-57c07342cd7642298e897d0ad04aa502
09-Adversarial_Attack
https://diamond-mule-bee.notion.site/09-Adversarial-Attack-125d90a904ab4c7ab4db7162c9f1cbea
10-Explainable_AI
https://diamond-mule-bee.notion.site/10-Explainable-AI-9ea7e4815dfb4c94bff3e8dd596ded42
11-Domain_Adaptation
https://diamond-mule-bee.notion.site/11-Domain-Adaptation-c6f428ddbe264c878b2fa8bdf2d124dd
12-Reinforcement_Learning(RL)
https://diamond-mule-bee.notion.site/12-Reinforcement-Learning-RL-00c5c8c0e77749e3add1726525467ff5
13-Life_Long_Learning(LLL)
https://diamond-mule-bee.notion.site/13-Life-Long-Learning-LLL-120a6afa51a84f238a3f59a926ae082d
14-Compression
https://diamond-mule-bee.notion.site/14-Compression-523b9ce9e62640aab94d2e82dc975923
15-Meta_Learning(元学习)
https://diamond-mule-bee.notion.site/15-Meta-Learning-b98f8168d4044ad783b6241acd4e666a
16-总结
https://diamond-mule-bee.notion.site/16-c6364089b256467b98f3aa1c025d51b6
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