Convolution and Pooling

09-08

Variable Elimination and Belief Propagation

09-02

Training Deep Networks

09-01

Markov Random Fields (Undirected Graphical Models)

08-26

From Shallow to Deep Neural Network

08-25

Bayesian Networks (Directed Graphical Models)

08-19

Classification

08-18

Probability Reasoning

08-12

Linear Regression

08-11