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!pip install -Uqq fastbook
import fastbook
fastbook.setup_book()

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from fastbook import *

[[chapter_multicat]]

Other Computer Vision Problems

In the previous chapter you learned some important practical techniques for training models in practice. Considerations like selecting learning rates and the number of epochs are very important to getting good results.

In this chapter we are going to look at two other types of computer vision problems: multi-label classification and regression. The first one is when you want to predict more than one label per image (or sometimes none at all), and the second is when your labels are one or several numbers—a quantity instead of a category.

In the process will study more deeply the output activations, targets, and loss functions in deep learning models.