The HN discussion of the mentioned paper has a link to a video of the authors:<p><a href="https://news.ycombinator.com/item?id=10141516" rel="nofollow">https://news.ycombinator.com/item?id=10141516</a><p><a href="https://www.youtube.com/watch?v=-R9bJGNHltQ&list=PLujxSBD-JXgnqDD1n-V30pKtp6Q886x7e" rel="nofollow">https://www.youtube.com/watch?v=-R9bJGNHltQ&list=PLujxSBD-JX...</a><p>It's nice to see an(other) implementation of this paper. I looked through the references of the paper and didn't find any source links.
Unfortunately, AG Bethge has not (and most likely will not) released the original code, so this is very nice to have! The results from karpathy's implementation definitely feel a little "off" but it is very good nonetheless. Also see: Kai Sheng Tai's implementation - <a href="https://github.com/kaishengtai/neuralart" rel="nofollow">https://github.com/kaishengtai/neuralart</a><p>It seems like the original implementation still has a few undocumented tricks up its sleeve for improving accuracy that have yet to be figured out.
Whenever I see code for neural networks in caffe/torch/theano, it bothers me a lot that its not easy to get them up and running on windows. I can't believe MS is missing this boat. I believe this field is exploding right now and the only one seem to be aligned is NVIDIA. MS has sponsored development of nodejs for windows before. I'm hoping they will do something similar for these frameworks soon.
This is really cool. I especially love what it came up with when it combined the M.C. Escher "Hand and Sphere" print with the Golden Gate Bridge.