Questions
Let’s test what we learned in this chapter:
- What is overfitting in image classification tasks?
- How does overfitting occur?
- What techniques can be used to prevent overfitting?
- What is data augmentation, and how is it used to prevent overfitting?
- How can data pre-processing, data diversity, and data balancing be used to mitigate overfitting?