3 ms·
If you'd like to play around with MNIST yourself, I wrote a PyTorch training implementation that gets ~99.45%+ val accuracy in <13.6 seconds on a V100, est. < 6
by tysam_and 3y ago
If you'd like to play around with MNIST yourself, I wrote a PyTorch training implementation that gets ~99.45%+ val accuracy in <13.6 seconds on a V100, est. < 6.5 seconds on an A100. Made to be edited/run in Colab: https://github.com/tysam-code/hlb-CIFAR10 https://github.com/tysam-code/hlb-CIFAR10
It's originally kitted for CIFAR10, but I've found the parameters to be quite general. The code is very easy to read and well-commented, and is a great starting place for exploration.
Min-cut deltas to run MNIST:
.datasets.CIFAR10(' -> .datasets.MNIST(' (both occurences)
'whiten': Conv(3, -> 'whiten': Conv(1,
crop_size = 28 - > `crop_size = 28
Compute for the project funded by Carter Brown and Daniel Gross, my appreciation to them both for helping make this possible. Their support via encouragement has been very helpful as well. <3 :)