Related Issues (12)
- converting the pretrained SimCLRv2 Tensorflow checkpoints into keras ones
- Loss function returns nan
- Error in executing training and predictions HOT 1
- Failing to predict HOT 1
- I think there is a code error happended in Classifier.py file HOT 1
- Unused GPU? Long processed because it used CPU, and not GPU
- 'NoneType' object has no attribute 'shape' HOT 2
- ValueError: could not convert string to float: '[1, 0]' HOT 1
- Randomly pause during epoch, neither output nor error HOT 1
- AttributeError: 'NoneType' object has no attribute 'dtype' HOT 1
- Linear accuracy is better than non linear HOT 1
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from simclrv1-keras-tensorflow.