TingsongYu / TingsongYu/PyTorch_Tutorial
在数据预处理时，我们应该用源数据的平均值和标准差来初始化吗？
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Description
或者是将其归一化到均值为0，方差为1？如果按照源数据的平均值和标准差来归一化的话输入数据和原来的数据会有什么区别呢？
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, test, or entry point is named in the issue. Start by locating the tutorial's data-preprocessing example, then determine where the normalization choice should be explained; done means the documentation clearly answers which statistics to use and how normalized inputs differ from the source data.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100