My previous post describes the process and methodology behind my recent series of ink prints. This post is an update on the project that also examines more closely the outputs themselves and what they might represent.

Perception Engine Series

After the Treachery of ImageNet series, I completed a subsequent series of ten similar Riso prints called Perception Engines.

Perception Engines: cello, cabbage, hammerhead shark, iron, tick, starfish, binoculars, measuring cup, blow dryer, and jack-o-lantern

The main change in this series is that I wanted all prints to be in exactly the same style. So all ten in this series are from the same version of the codebase and with nearly identical hyper-parameters. …

A visual overview examining the ability of neural networks to create abstract representations from collections of real world objects. An architecture called perception engines is introduced that is able to construct representational physical objects and is powered primarily by computational perception. An initial implementation was used to create several ink prints based on ImageNet categories, and permutations of this technique are the basis of ongoing work.

Ink prints: Forklift, Ruler, and Sewing Machine


Can neural networks create abstract objects from nothing other than collections of labelled example images? Neural networks excel at perception and categorization, so it is plausible that with the right feedback loop perception is…

Tom White

Artist, researcher, and computational design lecturer at University of Wellington School of Design. Neural networks and creative coding.

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