Masters Thesis [ps][pdf]




Experimental Results: Samples from the models

A sample from the training set: *

Model	greedy 0	greedy 1	greedy 2	fine tuned
(1) TRBM	*	*	*	*
(2) TRBM-HH	*	*	*	*
(3) TRBM-VV-VH	*	*	*	*
(4) WRBM	*	*	*	*
(5) Multigrid-WRBM	*	*	*	*
(6) The mixed model	*	*	*	*

Where greedy i corresponds to layer-by-layer training of layer i sequentially, and fine tuned corresponds to running the Wake-Sleep algorithm on the
model learned by the greedy training.


A sample from a TRBM trained for at least two weeks on a slightly different dataset: *

A scipy implementation: code

(Note: currently, the readme of the code calls the WRBM
by the name ABM or ARBM somewhat inconsistently; there is a chance it will be fixed eventually.)


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