pytorch_DANN
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An implementation of DANN with pytorch
Hi, I'm not sure if this is an issue, or that's my misunderstanding. You calculated loss as: loss = class_loss + params.theta * domain_loss shouldn't it be: loss = class_loss...
There is a minor error in the train and test dataloaders for the MNIST dataset. The transform for normalizing data values receives mean and standard deviation for three channels whereas...
Hi there, thanks for the great repo! I would like to point out that I think the dropout function should be initialized at init in the in Class_classifier, so that....
Hi, The result of my code has huge difference with yours. At the epoch 99, my result is: ``` Source Accuracy: 9839/10000 (98.0000%) Target Accuracy: 5958/9001 (66.0000%) Domain Accuracy: 10646/19001...