WEEK 01 · COMPLETE GUIDE

Foundations for
generative models.

The complete approved Week 1 guide, from data distributions to variational optimization. Study in two connected parts.

2 parts available45 illustrationsWorked examples and revision

Week 1 parts

Follow the learning sequence
01
PART 1

Foundations to divergences

Generative models, data notation, generators, optimization, convexity, KL, JS, and total variation.

26 illustrations · Worked examples · Revision questions
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02
PART 2

From convex conjugates to variational optimization

Expectations, supremum and infimum, convex conjugates, function classes, variational divergence, and empirical objectives.

19 illustrations · Worked examples · Revision questions
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