Human-in-the-Loop Machine Learning

6 Applying active learning to different machine learning tasks

This chapter covers

• Calculating uncertainty and diversity for object detection
• Calculating uncertainty and diversity for semantic segmentation
• Calculating uncertainty and diversity for sequence labeling
• Calculating uncertainty and diversity for language generation
• Calculating uncertainty and diversity for speech, video, and information retrieval
• Choosing the right number of samples for human review

In chapters 3, 4, and 5, the examples and algorithms focused on document-level or image-level labels. In this chapter, you will learn how the same principles of uncertainty sampling and diversity sampling can be applied to more complicated computer vision tasks such as object detection ...