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utils
utils
 
 
AEM_Inverse_Design_Tutorial.ipynb
AEM_Inverse_Design_Tutorial.ipynb
 
 
README.txt
README.txt
 
 
class_wrapper.py
class_wrapper.py
 
 
direct_inference.py
direct_inference.py
 
 
evaluate.py
evaluate.py
 
 
flag_reader.py
flag_reader.py
 
 
forward_eval.py
forward_eval.py
 
 
hypersweep.py
hypersweep.py
 
 
hypersweepconv.py
hypersweepconv.py
 
 
hypersweepreg.py
hypersweepreg.py
 
 
hyperswipe02.py
hyperswipe02.py
 
 
hyperswipe04.py
hyperswipe04.py
 
 
model_maker.py
model_maker.py
 
 
parameters.py
parameters.py
 
 
plot_best_NA.py
plot_best_NA.py
 
 
plotswipe.py
plotswipe.py
 
 
predict.py
predict.py
 
 
scratch.py
scratch.py
 
 
test.py
test.py
 
 
testsweep.py
testsweep.py
 
 
train.py
train.py
 
 

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This is a slightly modified version from Ben's NA model

1. Train the network forward model with train.py
2. Run the evalution.py to both evaluate the model and perform backprop on targeted spectrums

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