Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision @david_picard tl;dr: one can easily get +0.2 pp accuracy on ImageNet just by changing random seed. And much more on CIFAR10 https://t.co/Nsc7a5B7Ko https://t.co/2dmNYvNgC1

- 9월 20, 2021

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Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision @david_picard tl;dr: one can easily get +0.2 pp accuracy on ImageNet just by changing random seed. And much more on CIFAR10 https://t.co/Nsc7a5B7Ko https://t.co/2dmNYvNgC1
— Dmytro Mishkin (@ducha_aiki) Sep 20, 2021

Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision @david_picard tl;dr: one can easily get +0.2 pp accuracy on ImageNet just by changing random seed. And much more on CIFAR10 https://t.co/Nsc7a5B7Ko https://t.co/2dmNYvNgC1 http://twitter.com/ducha_aiki/status/1439850704559034369 https://t.co/Nsc7a5B7Ko September 20, 2021 at 04:15PM

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Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision @david_picard tl;dr: one can easily get +0.2 pp accuracy on ImageNet just by changing random seed. And much more on CIFAR10 https://t.co/Nsc7a5B7Ko https://t.co/2dmNYvNgC1

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