If you took photographs of a mountain for a year about 20 times a day and recorded the weather and time for each shot, then you could use machine learning to learn what the mountain should look like as a function of the date and time.
If you did that using 3 perceptrons per pixel to learn linear functions for hue, color and saturation for each pixel, then you'd get this image for May 20 at 2:20 pm. Not quite convincing yet, but not bad for such a simple model.
That's in 10 days. And for it to be correct for this year, a lot of snow better melt!
Algorithm and image by CS 658 student Ilya Raykhel who is a graduate student in machine learning.
1 comment:
Isn't May 20th in 2 months and ten days?
It still will probably have more snow on it then, but it will look a lot closer!
Sounds like a really cool project.
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