Neural networks are fascinating and I'm really interested in how they can be leveraged for art or visual processing. In order to learn more about the topic I'm writing a series of articles exploring and trying to answer my own questions starting with neural style transfer.
I've started just by playing around. Generating these successful neural style transfer images took a lot of trial and error. The problem is a game of identifying good hyper-parameters and after playing around a bit I realized that unfortunately these are [content, style] specific and the output possibility space is huge.
Through the exploration it appears there is an affinity between certain styles and certain content. Not all combinations work, but when they do the results can look incredible.
Next is a progression showing the effect of scaling the style has on the output. Kandinsky's style is shining through and different details surface at various scale frequencies.
Finally two more Kandinsky transfers at a fairly large style scale.