time Square rally

 

that Certain mood

murky Vision

double Vision

 

the Big slip

 

Paintings are derived from an art strategy that works with a folder of multiple images to emulate the segmentation texture fill in you see in generative neural net renderings.

AI Artist Paints What It Thinks a Deep Learning Neural Net is Seeing in It's Internal Feature Space Representation

 

Continuing today's riff on faking the output of deep learning neural net feature space visualizations.  The AI Generative Artist did all of the work. I just setup a generative art strategy for it.

I guess we should work on making it generative for building generative strategies.  Meta generative system.  Sure, why not.

Faking Feature Space Representations

 

So i was reading this multi-modal neuron feature representation paper (neural net stuff), and they were generating some wild output images. So i wanted to know how they were doing their back-prop optimization from a feature vector in their neural net to the actual images they were showing.

And then i looked at the PyTorch code for that part. And i realized you can get there way, way simpler than what they are doing.  Spent 5 minutes in Studio Artist V5.5 dialing in something close. Their facets are better, but i think you could get very close just using existing Studio Artist features.

So this would be visualizing what a clown neuron represents. Here's another slightly different approach.