Comments (4)
Hey @Cliu2 ,
What dataset did you use?
from pytorch-bayesiancnn.
@kumar-shridhar Thank you for your reply.
I used the CIFAR10 dataset retrived remotely, following your code in the jupyter notebook.
train_data = datasets.CIFAR10('data', train=True, download=True, transform=transform)
I simply copy all the codes in the notebook to a python script file and run it in terminal. So all the settings should be same.
from pytorch-bayesiancnn.
I am experiencing the exact same issue. It seems that the network is unable to improve on its prediction accuracy due to some bug. I am going to try to look into it as much as I can, but @kumar-shridhar you should check this out since others have posted similar issues.
from pytorch-bayesiancnn.
Hi,
Please check with the current version. Things should work fine.
from pytorch-bayesiancnn.
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