Deep Learning of Generative Models - 2014
Center for Language & Speech Processing(CLSP), JHU via YouTube
Overview
Syllabus
Intro
Motivations
Google Image Search
Language Processing
Analogy Learning
Computational bottleneck
Sampling methods
Object recognition
MIT Technology Review 2013
Speech Recognition
Computer Vision
Unsupervised Learning
Free Trading Trick
What is a good representation
Priors
Improvised Learning
Fundamental Problems
First Problem
Experiments
Dependency Nets
Default Machine
Default Machine Results
Noise
Taught by
Center for Language & Speech Processing(CLSP), JHU