第二周:机器学习策略(2)(ML Strategy (2))
2.1 进行误差分析(Carrying out error analysis)2.2 清楚标注错误的数据(Cleaning up Incorrectly labeled data)2.3 快速搭建你的第一个系统,并进行迭代(Build your first system quickly, then iterate)2.4 在不同的划分上进行训练并测试(Training and testing on different distributions)2.5 不匹配数据划分的偏差和方差(Bias and Variance with mismatched data distributions)2.6 定位数据不匹配(Addressing data mismatch)2.7 迁移学习(Transfer learning)2.8 多任务学习(Multi-task learning)2.9 什么是端到端的深度学习?(What is end-to-end deep learning?)2.10 是否要使用端到端的深度学习?(Whether to use end-to-end learning?)
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