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CS_Notes
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# CS Notes 笔记方式应基于个人习惯选择，核心要求： - 信息准确无误 - 便于理解 - 易于查阅复习 我曾是完善笔记的忠实拥趸，如今仓库中那些详尽的笔记正是那段时期的见证。经过实践验证，相较于构建完整的电子笔记系统，我找到了更高效的知识管理方式：直接在文档里批注重点，记录整理框架，把时间花在实践上。 并且随着技术发展，现代AI工具已经能够很好地辅助传统笔记功能，手工记录的效率相对降低。 未来我会将更多技术总结和思考整理发布在[个人博客](https://nothingtosay0031.github.io/)中。 # TOC - Machine Learning by Hung-yi Lee - [2020](http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML20.html), [2016](http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML16.html) ``` . ├── Machine Learning and Deep Learning │ ├── Adversarial Attack │ ├── Anomaly Detection │ ├── Deep Learning │ ├── Explainable Machine Learning │ ├── Flow-based Generative Model │ ├── Generative Adversarial Network │ ├── Life-long Learning │ ├── Machine Learning │ ├── Meta Learning │ ├── Network Compression │ ├── Reinforcement Learning │ ├── Semi-supervised Learning │ ├── Seq2Seq │ ├── Structured Learning │ ├── Transfer Learning │ └── Unsupervised Learning ├── The Verilog Hardware Description Language ├── 编码 ├── 电子信息系统 └── 软件工程导论 ```
