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.ipynb_checkpoints
.ipynb_checkpoints
 
 
20 20 control group [Hardtanh(-1, 1)] [x1000]
20 20 control group [Hardtanh(-1, 1)] [x1000]
 
 
20 20 control group [Hardtanh(-2, 2)] [x700]
20 20 control group [Hardtanh(-2, 2)] [x700]
 
 
20 20 control group lr=0.00001 [x4000]
20 20 control group lr=0.00001 [x4000]
 
 
20 20 control group lr=0.00001
20 20 control group lr=0.00001
 
 
FullconnectedResNet.py
FullconnectedResNet.py
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
ResNet + PDE --- xx [3.0] graphing.ipynb
ResNet + PDE --- xx [3.0] graphing.ipynb
 
 
ResNet + PDE --- xx [3.0].ipynb
ResNet + PDE --- xx [3.0].ipynb
 
 
ResNet + PDE --- xxxxx [3.0].ipynb
ResNet + PDE --- xxxxx [3.0].ipynb
 
 
analytical_solution.py
analytical_solution.py
 
 
counter.txt
counter.txt
 
 
padding_methods.py
padding_methods.py
 
 

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-Summer-ResNet-solve-PDE-research-code

Model 1

ResNet(
  (linear1): Linear(in_features=7, out_features=6, bias=True)
  (relu1): ReLU()
  (linear2): Linear(in_features=6, out_features=1, bias=True)
  (relu2): ReLU()
)

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