Pytorch l2 regularization

# add l2 regularization to optimzer by just adding in a weight_decay 
optimizer = torch.optim.Adam(model.parameters(),lr=1e-4,weight_decay=1e-5)

Regularization pytorch

 loss = mse(pred, target)
 l1 = 0
 for p in net.parameters():
  l1 = l1 + p.abs().sum()
 loss = loss + lambda_l1 * l1
 loss.backward()
 optimizer.step()

Source: discuss.pytorch.org

Similar codes

0 vote284 views1 answer
Convert unit dynamo revit
Python
21 votes267 views2 answers
Plt import
Python
26 votes295 views2 answers
Append write python
Python
0 vote292 views1 answer
Convert any .pdf file into audio python dev.to
Python
0 vote671 views1 answer
Fibonacci sequence python genorator
Python
3 votes281 views1 answer
Numpy arrauy to df
Python
0 vote294 views1 answer
Python How To Remove Commas From String
Python
-3 votes228 views2 answers
Text detection from image using opencv python
Python
2 votes270 views2 answers
Python include file
Python
15 votes248 views2 answers
Is_integer() python
Python