Comments (4)
Hello, @webcsm thank you for your interest in our work. We selected the model using the harmonic mean criteria. We also observed the vae loss because if that loss is exploding then it means the model is not learning.
from tfvaegan.
Thank you @akshitac8.
from tfvaegan.
Just a quick follow up question. I'm assuming this harmonic mean criteria is computed on the test set, right?
from tfvaegan.
It can be computed at validation set also during the training time. I have uploaded the code for computing it on the test data.
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Related Issues (20)
- There is problem with AWA2!! HOT 3
- ModuleNotFoundError: No module named 'util' HOT 1
- Transductive Setting HOT 6
- Recreating ResNet visual features HOT 3
- performance about CUB dataset HOT 7
- epoch 0 HOT 7
- classify HOT 5
- 'Variable' object has no attribute 'getLayersOutDet' HOT 7
- Transductive setting's hyperparameters HOT 1
- There is a gap in performance than in the paper HOT 7
- Question about argparse HOT 2
- Questions about training HOT 10
- What is the training unseen feature under transductive setting?
- Question about training on action recognition HOT 1
- About the loss in the training process HOT 3
- Question regarding fine-tuned features HOT 1
- role of parameter
- _test_unseen_feature = scaler.transform(feature[test_unseen_loc]) IndexError: index 382 is out of bounds for axis 0 with size 382
- Finetuned features MISS HOT 2
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from tfvaegan.