STAT 577 · From raw input to class prediction, one stage at a time
Key insight: Everything left of $\mathbf{T}$ is a
learned feature extractor. Everything from $\mathbf{T}$ onward is
multinomial logistic regression from Week 6. The network glues a flexible
front end onto a classical GLM back end.