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Your paper indicates a final sigmoid output layer, but the models in model.py do not have such a layer and the outputs are not in the range [0,1]. Do I just add a torch.sigmoid in the forward call? In a somewhat unrelated matter, it doesn't seem that your loss function is available. I'm new to machine learning/pytorch/computers and any help would be appreciated. Thank you.
The text was updated successfully, but these errors were encountered:
Your paper indicates a final sigmoid output layer, but the models in model.py do not have such a layer and the outputs are not in the range [0,1]. Do I just add a torch.sigmoid in the forward call? In a somewhat unrelated matter, it doesn't seem that your loss function is available. I'm new to machine learning/pytorch/computers and any help would be appreciated. Thank you.
The text was updated successfully, but these errors were encountered: