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?
Also, how does the network decide when it has converged?
Thanks
Hannah
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