what is the value for L2 regularization coeff, by default,while training?

15 vues (au cours des 30 derniers jours)
krishna Chauhan
krishna Chauhan le 21 Oct 2020
Modifié(e) : Adam Danz le 27 Oct 2020
while trainig a deep learning network in MATLAB, what is the trainingOptions for setting L2 regularization coeff.?
Like if adam optimizer is used how to set this parameter?
more clearly like in optim.Adam in pytorch , weight_decay option is given.how to set it here in MATLAB?

Réponses (1)

Adam Danz
Adam Danz le 21 Oct 2020
I think you're looking for the L2Regularization Solver Option.
  6 commentaires
krishna Chauhan
krishna Chauhan le 22 Oct 2020
Ya even I was thinking they are same,
for your second suggestion,,,,,,,,,,I m giving same input to both the models but getting entirely different accuaracy. In MATLAB 80% while in Pytorch they got only 50- 55%
though Pytorch has no option for padding='same' may be this is the issue.
I am confused what to do now?
Adam Danz
Adam Danz le 22 Oct 2020
Modifié(e) : Adam Danz le 27 Oct 2020
If it were me, I'd step through the process in debug mode to study and compare the two methods. Perhaps there's more detail in Matalb's (and PyTorch's) documentation that would shed light on the differences.
Maybe the difference is caused by a small difference in one of the optional parameters, as you mentioned.

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