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Intro
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Classroom Contents
Generative Models
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- 1 Intro
- 2 Why Deep Networks?
- 3 Data Models and Deep Networks
- 4 The Dream
- 5 The Pure Theorist Model
- 6 ': A DL Theorist Perspective
- 7 Hacker models
- 8 Candidate 3: Scattering Transform
- 9 The Question Remains
- 10 Information Flow on Trees
- 11 Is this process natural?
- 12 What is the best classifier
- 13 Provable Algorithms for learning classifier
- 14 Depth Lower bounds
- 15 Phylogenetic Reconstruction
- 16 A semi supervised setting
- 17 Deep Algorithms
