# A Question About Cost Estimation With Neural Networks? [closed]

First of all, I just entered the topic of artificial neural networks, I'm sorry if my question sounds ridiculous.

I want to estimate social return to education for Argentina using neural networks. But there's not sufficient data set for Argentina. So I want to train my neural networks with another country's data set, for example Brazil. If that's possible, my estimation for Argentina will be consistent? So I'm curious whether country-specific data sets important for neural network analysis. If I trainneural networks with the data of a country, can I get generalizable results when I make predictions for a different country?

You could do transfer learning, i.e., train a neural network (NN) architecture on dataset $$A$$, and then use a similar NN architecture to continue learning on dataset $$B$$. For instance, you may want to remove the input and final nodes of the NN trained on $$A$$ and replace them with new (untrained) units and weights to continue training on $$B$$.