Binary neural nets in R, part 3: Recurrent Helmholtz Machine

github repository for this project

Part 3 of my neural network project in R involves coding a recurrent version of the Helmholtz machine. A recurrent (i.e., autoregressive or time-lagged) version of the network follows naturally (kind of), and of course, Hinton already published the idea in 1995. I used his paper as a guide to be sure nothing was markedly different about the approach and coded it according to my previous strategy.

See also

• Discretization in 3 languages
• Binary neural nets in R, part 2: Helmholtz Machine
• Binary neural nets in R, part 1: Restricted Boltzmann Machine