DeepFake-Detection
pytorch_resnet_cifar10
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| DeepFake-Detection | pytorch_resnet_cifar10 | |
|---|---|---|
| 1 | 1 | |
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| Python | Python | |
| MIT License | BSD 2-clause "Simplified" License |
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DeepFake-Detection
pytorch_resnet_cifar10
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Trained a ResNet110 in Pytorch for multioutput classification, but the predicted values are out of range, what can be the reason?
I made some changes to this repo codes and trained a ResNet32 for 1 epoch to test if the script is working, then trained a ResNet110 for 200 epochs. the range of values for output A is [0,1] and output B is [0, 4] in the training dataset. The trained ResNet32 model predictions were within the proper range but the ResNet110 output range went negative or something like 15.324 (way beyond 4).
What are some alternatives?
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