wide-resnet.pytorch
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meliketoy
Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
I git cloned the code and ran it with the command suggested by readme. However, the Top1 acc stopped at 76% after 160 epochs. I've seen the learning curve in...
The ResNets from the authors on the original paper change the sizes when applied to CIFAR10. It just don't match the dimensions you specified here: ResNets for CIFAR10 are 2+6n...
For dropout: I believe the dropout layer should come after the ReLU layer rather than Conv2d For shortcut: It seems a Conv2d layer is added when the stride is not...
