How to choose loss functions

[Andrea]

You're welcome! Hey, I didn't notice you're the same guy who asked this nice question:

What does nnet minimise

I'm instructed by our professor to implement a neural network classifier with single hidden layer on the Wine Quality Data. This is divided in two parts, so I will implement two models and these models have ordered classes. I tried using nnet function in the nnet package for this assignment. I've noted that the process does not always converge, and if it does, they may converge to quite different values. I expected some differences, but those value are really far apart. I wanted to investigate and went through the documentation to know the convergence criterion. But I noted that that's not mentioned anywhere. So my question is that whether it minimises training set error, or it is splitting…

It looks like you're studying at the ISI. How is it? It looks like a nice college, you do ask some smart questions!