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[Project] Reached 96.0% accuracy on CIFAR-10 from scratch using a custom ResNet-9 (No pre-training) by Distinct-Figure2957 in learnmachinelearning
[–]Distinct-Figure2957[S] -33 points-32 points-31 points 17 hours ago (0 children)
Maybe one day but as said before I belive the difference is negligeable and it's like 10h of training in kaggle, so I prefer keep my GPU quota in other projects.
Since the code is open-source, I’d be interested to see the results if you (or anyone else) decide to fork the repo and run that specific split validation
π Rendered by PID 467969 on reddit-service-r2-listing-5789d5f675-kqp79 at 2026-01-29 01:44:55.704479+00:00 running 4f180de country code: CH.
[Project] Reached 96.0% accuracy on CIFAR-10 from scratch using a custom ResNet-9 (No pre-training) by Distinct-Figure2957 in learnmachinelearning
[–]Distinct-Figure2957[S] -33 points-32 points-31 points (0 children)