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A neural network framework try to fuse different models to make common sense predictions

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csNet

A neural network framework try to fuse different models to make better predictions

An example of testing performance on CIFAR10 are shown below

Generalization Performance

Generalization

Robustness

Robustness

Usage:

To train the networks

python script/train.py

To test the results:

python script/eval.py

Config

The config files for both training and validation are in config/configs.yaml

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A neural network framework try to fuse different models to make common sense predictions

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