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Classroom Contents
Deep Learning of Generative Models - 2014
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- 1 Intro
- 2 Motivations
- 3 Google Image Search
- 4 Language Processing
- 5 Analogy Learning
- 6 Computational bottleneck
- 7 Sampling methods
- 8 Object recognition
- 9 MIT Technology Review 2013
- 10 Speech Recognition
- 11 Computer Vision
- 12 Unsupervised Learning
- 13 Free Trading Trick
- 14 What is a good representation
- 15 Priors
- 16 Improvised Learning
- 17 Fundamental Problems
- 18 First Problem
- 19 Experiments
- 20 Dependency Nets
- 21 Default Machine
- 22 Default Machine Results
- 23 Noise
