bmsookim wide-resnet.pytorch issues - Githubissues

bmsookim / wide-resnet.pytorch

Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

MIT License

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issues

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Var of CIFAR10 wrong

#15 jS5t3r opened 10 months ago
0
Wide-ResNet 28-10-0.3 for CIAFR10 produced a low test accuracy

#14 1017137588qqcom opened 1 year ago
0
Activation functions in WRN?

#13 jS5t3r closed 2 years ago
1
How to train WRN 34?

#12 jS5t3r opened 2 years ago
0
Checkpoints

#11 deJQK opened 2 years ago
0
Stride is Wrong

#10 KaleabTessera opened 4 years ago
1
Wrong Implementation

#9 sungyoon-lee opened 4 years ago
2
Definition of Optimizer in train function

#8 GeondoPark opened 4 years ago
0
IndexError

#7 tomlawrenceuk opened 5 years ago
1
TypeError: can't multiply sequence by non-int of type 'float' in _wide_layer

#6 maxmatical opened 5 years ago
1
failed to reproduce the accuracy of WRN-28-10 on Cifar-10

#5 zhuyiche closed 5 years ago
2
These ResNets are not for CIFAR10

#4 PabloRR100 opened 6 years ago
0
About dropout and shortcut in residual block

#3 liyz15 opened 6 years ago
0
Support for imagenet?

#2 antspy opened 6 years ago
3
Unable to reproduce the accuracy of WRN-28-10 on Cifar-100

#1 wishforgood opened 6 years ago
23