mil-ad
/ train-cifar.py
Created
January 10, 2020 19:09
— forked from y0ast/train_cifar.py
Getting a high accuracy on CIFAR-10 is not straightforward. This self-contained script gets to 94% accuracy with a minimal setup.
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| import argparse | |
| from tqdm import tqdm | |
| import torch | |
| import torch.nn.functional as F | |
| from torchvision import models, datasets, transforms | |
| def get_CIFAR10(root="./"): |