Tutorial on Linear Generative Models

Inspired by the discussion on linear factor models in Chapter 13 of Deep Learning by Courville, Goodfellow, and Bengio, I wrote a tutorial notebook on linear generative models, including probabilistic PCA, Factor Analysis, and Sparse Coding, with an emphasis on visualizing the data that is generated by each model.

You can download the notebook yourself from GitHub or you can click the badge below to interact with it in your browser without needing a compatible Python computational environment on your machine.