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AI & MLRecommendedAIML-GM-005

Normalizing Flows

Invertible transforms of a simple density with exact likelihood via the change-of-variables formula.

Difficulty
4 / 5
Importance
4 / 5
Study time
1–2 h
Kind of work
Mixed

Why it matters

The learner can apply a change of variables to a simple invertible transform and explain why flow layers need tractable Jacobian determinants.

The route to this topic

Route AIML-GM-005
Natural Numbers What Is a Model? Variables & Constants Tasks: Regression, Classification, and Beyond Features and Targets Solving Linear Equations Function Notation & Composition Probabilistic Prediction Linear Regression I: Prediction and Residuals Complex Numbers Density Estimation: Histograms and Kernels Loss and Fitting: Squared Error Basic Ratios Unit Circle Linear Regression II: Least Squares Fitting Polynomial Functions Principal Component Analysis Intuitive Limits Continuity Definition of the Derivative Differentiation Rules Latent Representations Chain Rule Antiderivatives & Indefinite Integrals What Generative Models Learn Derivatives of Transcendental Functions Riemann Sums & Definite Integral Fundamental Theorem of Calculus Integration by Parts Partial Derivatives Double Integrals Change of Variables Normalizing Flows