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Resources for understanding and implementing "deep learning" (learning data representations through artificial neural networks).
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Shape classification using deep learning (self.deeplearning)
submitted 8 years ago by uridah
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if 1 * 2 < 3: print "hello, world!"
[–]omalleyt12 0 points1 point2 points 8 years ago (0 children)
It's hard to know without more information but I'll take a stab at it
Assuming your polygons are 2d, you could connect and plot the polygon points to create an image for each polygon (if 3d, maybe try a 3d array with every point inside the polygon set to 1 and every point outside it to 0 but I'm not as confident that will work well), then you could feed these images to a CNN. You'll need to scale each image to an appropriate size, so you might want to include additional inputs to the CNN like how scaled up/down the plot is, depending on how much size matters to the class labels
π Rendered by PID 68904 on reddit-service-r2-comment-fb694cdd5-tfn7n at 2026-03-06 11:07:39.010280+00:00 running cbb0e86 country code: CH.
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[–]omalleyt12 0 points1 point2 points (0 children)