PCA

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Mon Sep 01 2025

9267 words · 49 minutes

Deep Learning Notes - 7: Sampling Methods and Latent Variable Models

Deep Learning Notes - 7, covering sampling methods (Monte Carlo, MCMC, Gibbs sampling), discrete latent variables (K-means, GMM, EM algorithm), and continuous latent variables (PCA, probabilistic PCA). Corresponding to Chapters 14-16 of "Deep Learning: Fundamentals and Concepts".

Notes Deep Learning Learning Sampling Latent Variable PCA EM Algorithm