How to access the performance plot for shallow net after training?

I am training a shallow net on HPC. After the training is done, I get the saved trained neural net. Is there a way to get the performace plot from the saved neural net?

net = train(net,input.',output.','useParallel','yes');

trained_net = net
save trained_net

In this is post , it is shown that by using tr we can analyze the netwrok after the training. I think it's only true if you are training on local machine. When you train on HPC and you are only downloaing a trained net, I do not know how to do so. Can someone please help me out?

Answer 1

[Mahesh Taparia]

Hi

You can access the performance parameters after training process by storing them in a variable. To do this, you need to run the code in the following manner:

[net, information] = train(net,input.',output.','useParallel','yes'); 
save('Information.mat','information') %You can save for future use. 

This information variable is a struct and it will contain the performance parameters. For more information, you can visit the documentation page of train here.