Cousera - Machine Learning for Neural Networks - 课程笔记 - Week 9
Overview of ways to improve generalization 过拟合出现的缘由 训练数据包含了输入到输出的规律性信息，同时还存在着必定的采样错误 模型拟合数据时没法保证拟合到“正确的”规律上来，于是均进行拟合 如一个模型对错误的规律拟合的过好了，就会致使其泛化能力很是差 避免过拟合的方法 获取更多的数据（有了更多数据，过拟合问题天然会缓解） 必定程度地限制模型的能力，让其可
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