Lecture 13: Generative Models
Unsupervised Learning Data: x Just data, no labels! Goal: Learn some underlying hidden structure of the data Examples: Clustering, dimensionality reduction, feature learning, density estimation, etc. Supervised vs Unsupervised Learning Principal Component Analysis (Dimensionality reduction) This image from Matthias Scholz is CC0 public domain 3 ...
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