Comments (1)
Hi, I don't think that is a good idea, because it might not always work when synchronizing a complex model by saving in a json file. I would strongly suggest you to save the weights only and then create the model and then load the weights.
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Related Issues (20)
- Training HOT 10
- AttributeError: 'MyCSVLogger' object has no attribute 'file_flags' HOT 1
- Combined database normalisation HOT 1
- Accuracy and loss function visualisation HOT 1
- Could you please provide me a copy of the CSIQ dataset? HOT 1
- Does the sequence of datasets need to shuffle? In the code, shuffle is set False HOT 8
- OOM HOT 4
- δΈθ½θΏθ‘ image_quality_prediction.py HOT 1
- The test set HOT 2
- Issue with Training - Generator error HOT 5
- Same output for every input image HOT 6
- training HOT 2
- Input HOT 5
- plcc HOT 4
- TRIQ failure on images of particular size range HOT 1
- request for trained model
- Save model config data
- dataset HOT 1
- About dataset HOT 5
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