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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中。

TOC

  • Machine Learning by Hung-yi Lee
.
├── 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

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