Revisiting Painting #3 with Epoch Training

Posted: May 18, 2020 at 7:45 am

All of these results are looking consistently better so I think I’m just going to post the new progress (on top) and the previous best result (below) for comparison from now on.

Revisiting Painting #2 with Epoch Training

Posted: May 13, 2020 at 10:28 am

I’m quite happy with the results of the epoch training on the previous results! My favourite latest selection is the large image below. Under it is the previous best result on the left with another exploration using epoch training on the right. The top image is structurally equivalent to the previous results except without the artifacts and greater smoothness, which has been the case for all the epoch training explorations.

#1 Final Refinements

Posted: May 11, 2020 at 8:18 am

I’m torn between these two options. While the top is less organized (and thus more resembles the original) it’s structure is less central and the shift of the bright area from the chest to the top of the head is quite nice.

Espace (No. 124)

La matérialité révélatrice de l’apprentissage automatique. Sofian Audry, Espace, No. 124.

Revisiting #1 Appropriation Using Epoch Training.

Posted: May 1, 2020 at 10:47 am

Following from the previous post, I ran a test with a different training procedure. Previously I had been doing the canonical SOM training where the neighbourhood starts large and shrinks monotonically over time. For the videos, I want an increase of the degree of reorganization over time, so I train over a number of epochs where the starting neighbourhood size for each epoch increases over time. Within each epoch, that maximum neighbourhood size still shrinks for each training sample. In this test, results pictured in the large image below along with previous results underneath, I do multiple epochs where the maximum neighbourhood stays the same for every epoch.