machine-learning - 为什么我们需要机器学习的标准化和规范化？

Question

关闭。这个问题需要多问 focused 。目前不接受答案。

---

想要改进此问题吗？更新问题，使其仅关注一个问题 editing this post .

已关闭 4 年前。

Improve this question

数据标准化和归一化，那么这两个术语有什么区别呢？

Answer 1

Here是关于规范化和标准化的一个很好的基于示例的解释，我只是在这里提到其中的一些要点:

Normalization :

1. Normalization makes training less sensitive to the scale of features, so we can better solve for coefficients.
2. Normalizing will ensure that a convergence problem does not have a massive variance, making optimization feasible

standardization :

1. (reason of using Standadization) Compare features that have different units or scales.
2. Standardizing tends to make the training process well behaved because the numerical condition of the optimization problems is improved.