How to save the criterion at which neural net training was finished?

Hello!

I am training a fitnet network with trainbr. I run training of different topologies in cycles for nets with different number of neurons and when trained save customly calculated performance parameters for further optimization. The question is: how can I save the criterion on which training process was exited? In whatever form will be ok. This will help me analyze the results, as i will be able to adjust training parameters, now i have them all at default values as the first iteration. Particularly I am interested if the training was finished based on number of epochs or other performance parameters.

thank you in advance for your answers!

Alexandra

[Alexandra Aulova]

Dear all,

Is it possible at all? Maybe @Greg Heath could help?...

I will be very grateful for this inforamtion since I am looking for it for some time already...

Answer 1

[Swetha Polemoni]

Hi

With trainbr, training occurs according to trainbr training parameters. You might find the following documentation useful.

https://www.mathworks.com/help/deeplearning/ref/trainbr.html

[Alexandra Aulova]

Thank you for the link. This unfortunately does not help, since I am looking for the option to save the training exsiting criterion, either number of ephoch or mu parameter or MSE target for example.