Weight decay parameter and Jacobian matrix of a neural network
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I want calculate prediction intervals so I have 2 direct questions:
- How can I get the weight decay parameter 'alpha' (mse+alpha*msw) used when using 'trainbr' as a training algorithm?
- How can I get the neural network jacobian matrix (derivatives following weights) calculated during training?
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Greg Heath
2014-2-19
编辑：Greg Heath
2014-2-19
The documentation for trainbr is pretty bad.
help trainbr
doc trainbr
Look at the source code
type trainbr
I am not familiar with it but will take a look when I get time.
Meanwhile, if you make a run, the training record tr, contains 2 parameters
gamk: [1x31 double]
ssX: [1x31 double]
that are involved.
Hope this helps.
Thank you for formally accepting my answer
Greg
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Platon
2014-2-21
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Greg Heath
2014-2-21
When using the obsolete msereg and mse with the regularization option, the weight parameters are alpha (specified error weight) and (1-alpha).
However when using trainbr, the weight parameters alpha and beta are calculated each epoch. Haven't decifered the logic yet. Might be faster to search the web.
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