Hi,
I'm using the R nnet package and have a few simple (?) questions.
What is the "value " that is output after every 10 iterations during the training of the network and how is it calculated?
# weights: 177
initial value 506.134586 iter 10 value 128.222774
iter 20 value 95.399782
iter 30 value 87.184564
...
Is the "value" the error, if not, is there any way to see the error values during training?
From ?nnet: "value of fitting criterion plus weight decay term."
Also, how does the network decide when it has converged?
More than one criterion. You can adjust the criterions with arguments to nnet(), see ?nnet.
Please read the references given in ?nnet for more details:
- Ripley, B. D. (1996) Pattern Recognition and Neural Networks. Cambridge.
- Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
Uwe Ligges
Thanks
Hannah
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