How to save neural network in matlab??
5 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
char S
am 30 Jul. 2014
Beantwortet: Greg Heath
am 7 Aug. 2014
Hi,
I am using MATLAB 2013 neural network toolbox. When I test it after training, I am getting different types of results. I have to save the self generated code with the better results. How can I save it?
Pls reply
0 Kommentare
Akzeptierte Antwort
Greg Heath
am 7 Aug. 2014
To "run" a net means to use a saved net. There is no reason why a saved net will yield different results when it is repeatedly run on the same data.
However, if you mean to repeatedly "train" and run, then different results are to be expected because of the following defaults:
1. The data is randomly divided into trn/val/tst data.
2. Initial weights are chosen randomly.
Therefore, if you want to repeat training results, you should reset the random number generator to the same starting state before the first call to init, configure or train. Search on
greg rng(0)
Thank you for formally accepting my answer
Greg
P.S. If you are using obsolete functions like newfit, newpr or newff, you should initialize the RNG previous to the creation of the net.
0 Kommentare
Weitere Antworten (1)
Greg Heath
am 31 Jul. 2014
save(net) % retrieve using load(net)
Hope this helps
Thank you for formally accepting my answer
Greg
1 Kommentar
Siehe auch
Kategorien
Mehr zu Sequence and Numeric Feature Data Workflows finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!