An Introduction to Modern
Statistical Learning
Preface
1
Introduction
I
Representation and Inference
2
Directed Generative models
3
Undirected Generative Models
3.1
The exponential-family harmonium
3.2
Deep belief networks
3.3
The Helmholtz machine
3.4
Recurrent EFHs
3.5
General inference algorithms
II
Learning
Deep belief networks
3.2
Deep belief networks