Energy-Based Models III
Energy-Based Models III
This lecture covers advanced concepts of energy-based models. The lecture is a part of the Advanced Energy-Based Models module of the the Deep Learning Course at NYU's Center for Data Science. Prerequisites for this course include: Energy-Based Models I, Energy-Based Models II, and an Introduction to Data Science or a Graduate Level Machine Learning course.
Topics covered in this lesson
- PCA
- AE
- K-means
- Gaussian mixture models
- Sparse code
- Intuitive VAE
External Links
Prerequisites
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