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Understanding the Effect of Different Priori Knowledge on CNN Fault Interpreter

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pretrain

Code for paper "Understanding the Effect of Different Priori Knowledge on CNN Fault Interpreter"

Filename usage
figures*.ipynb They are used for generating figures in the above paper
model_zoo benchmark models
cococlasses.ipynb It checks the classes involved in coco dataset and class distribution.
savePredNpy_thebetestall-norm-final.ipynb It is used for generating fault predictions
trainPretrainedModelFinal.py It can used for pretraining and fine-tuning.

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Understanding the Effect of Different Priori Knowledge on CNN Fault Interpreter

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