Week 5 Part II · Training Infrastructure
Task-appropriate losses (cross-entropy, MSE, BCE); metrics; the train and eval loop.
Curated, free, canonical references for this week: a course or lecture, a book chapter, a video, and an authoritative blog post or official tutorial. Each opens in a new tab.
Derives softmax/cross-entropy and hinge losses with probabilistic and information-theoretic views.
Derives MSE, cross-entropy, and BCE from maximum likelihood (free PDF).
A clear, intuitive explanation of cross-entropy as the classification loss.
Authoritative reference for accuracy, precision/recall, F1, ROC AUC, MSE, and R2.