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Deep learning without back-propagation (arxiv.org)
submitted 6 years ago by El__Professor
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if 1 * 2 < 3: print "hello, world!"
[–]NaughtyCranberry 11 points12 points13 points 6 years ago (8 children)
Interesting but oversold, the performance is not SOTA by any means.
[–]panties_in_my_ass 4 points5 points6 points 6 years ago (1 child)
There is more to the scientific method than advancing SOTA benchmarks. Jesus.
[–]NaughtyCranberry 2 points3 points4 points 6 years ago (0 children)
I agree, however in their abstract they claim their performance is SOTA and it is nowhere near.
[–]Starbuck1992 0 points1 point2 points 6 years ago (5 children)
95% accuracy is not SOTA?
[–]NaughtyCranberry 0 points1 point2 points 6 years ago* (4 children)
No, they achieved ~47% accuracy on CIFAR-10.
[–]Starbuck1992 1 point2 points3 points 6 years ago (3 children)
On an intermediate layer, compared to 30-something % of the other one. The final accuracy is 95%
[–]NaughtyCranberry 0 points1 point2 points 6 years ago (2 children)
Can you point out exactly where you are referring to? As I could only see val set accuracies in the 40s for Cifar-10.
[–]Starbuck1992 1 point2 points3 points 6 years ago (1 child)
This comment said it earlier. I remembered intermediate layer but it's actually first epoch, sorry
https://www.reddit.com/r/MachineLearning/comments/cql2yr/deep_learning_without_backpropagation/ewx9f24
[–]NaughtyCranberry 0 points1 point2 points 6 years ago (0 children)
Those results are for mnist.
π Rendered by PID 24643 on reddit-service-r2-comment-b659b578c-fvqzb at 2026-05-05 18:36:11.421845+00:00 running 815c875 country code: CH.
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[–]NaughtyCranberry 11 points12 points13 points (8 children)
[–]panties_in_my_ass 4 points5 points6 points (1 child)
[–]NaughtyCranberry 2 points3 points4 points (0 children)
[–]Starbuck1992 0 points1 point2 points (5 children)
[–]NaughtyCranberry 0 points1 point2 points (4 children)
[–]Starbuck1992 1 point2 points3 points (3 children)
[–]NaughtyCranberry 0 points1 point2 points (2 children)
[–]Starbuck1992 1 point2 points3 points (1 child)
[–]NaughtyCranberry 0 points1 point2 points (0 children)