From kottke.org:
Damien Henry trained a machine learning algorithm with a bunch of videos recorded from train windows. Then, to test what it had learned, he asked the algorithm to make an hour-long video of a train journey — it began with a single frame and guessed subsequent frames as it went along. The video shows the algorithm getting smarter as it goes along…every 20 seconds the video gets a little more detailed and by the end of the video, you get stuff that looks like trees and clouds...
Published on May 15, 2017 06:08