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CS Notes

记录笔记的方式应该根据个人的喜好和习惯来决定,因为不同的人有不同的偏好和需要。重要的是确保记录下来的信息准确无误,易于理解,并且方便日后查阅和复习。我曾经热衷于记录完善的电子笔记,但逐渐发现这种做法效率不高。因此,在大部分情况下,我会采用在源文件基础上添加笔记的方式。这可以减少时间和精力的浪费,并且让我更专注于学习和实践。今后我将在博客中分享的更多内容。

  • Machine Learning by Hung-yi Lee

TOC

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├── 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