Related Issues (20)
- Missing densenet-bc-100-12 weights for cifar100 on OneDrive
- running with a newer pytorch version HOT 1
- For vgg16, there are three classifier layers in the provided checkpoint but only one in the model HOT 2
- Error loading pretrained model weights HOT 1
- The pretrain cifar10 resnet110 indeed is resnet164 (BottleNeck) HOT 1
- PreResNet-110 on Cifar100, Top1 error rate is 26.47 rather than 23.65. HOT 3
- about how to inference HOT 2
- 'ProgressBar' object has no attribute 'elapsed_td'?
- The parameters count is different from torchsion resnet.
- CIFAR-10 does not have resnet18
- draw the accuracy curce such as ./utils/images?
- How long does ImageNet take to train?
- the result of resnet18 with imagenet is Test Acc: 0.09(I loaded your pretrained model)
- Inconsistent ResNeXt-29 (16x64) trained model on CIFAR10
- tensor(89.0110, device='cuda:0')
- Problems with the checkpoints of the PreResNet110
- The results of ResNeXt-50 (32x4d) on ImageNet
- Checkpoints are unaccessible HOT 1
- RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead. HOT 1
- why depth of resnet-110 are 164?
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from pytorch-classification.