arXiv:2109.08203cs.CV
Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision
Abstract
In this paper I investigate the effect of random seed selection on the accuracy when using popular deep learning architectures for computer vision. I scan a large amount of seeds (up to $10^4$) on CIFAR 10 and I also scan fewer seeds on Imagenet using pre-trained models to investigate large scale datasets. The conclusions are that even if the variance is not very large, it is surprisingly easy to find an outlier that performs much better or much worse than the average.
Hey! :) Coincidentally the seeds I always use are 3407, 3408 and 3409 :) 3407 because of https://arxiv.org/abs/2109.08203 I also tried not setting the seeds, but the results are still the same - quantizing all layers seems to make the model forget and repeat everything - I put…
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