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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