Chapter 12 — Training in Practice

(Roadmap — content to be written)

This chapter covers:

• Data augmentation as explicit training for invariance

• Regularisation: dropout, weight decay, batch norm

• Transfer learning: reusing ImageNet features

• Overfitting diagnostics

Depends on: Chapters 10–11