how to save and reuse a trained neural network
I just trained a neural network and i will like to test it with new data set that were not included in the training so as to check its performance on new data. This is my code; net = patternnet(30); net = train(net,x,t); save (net); y = net(x); perf = perform(net,t,y) classes = vec2ind(y); where x and t are my input and target respectively. I understand that save net; can be used but my questions are as follows ; 1.At what point in my code will i put save net 2.Using save net;, which location on the system is the trained network saved? 3.How can i load the trained network and supply new data that i want to test it with? Please Note: I want to be able to save the trained neural network such that when i run the code over and over again with the training data set,it gives same output. I have discovered that each time i run my code,it gives a different output which i do not want once i have an acceptable result.
Prashant Kumar answered .
2025-11-20
1.At what point in my code will i put save net
Any time after training it and before deleting it. However, give it a unique name so that it is not overwritten or used by mistake. gregnet1 = net; save gregnet1
What ever directory you are in when you save it UNLESS you specify another directory.
3.How can i load the trained network and supply new data that i want to test it with?
load gregnet1 newoutput = gregnet1(newinput);
Please Note: I want to be able to save the trained neural network such that when i run the code over and over again with the training data set,it gives same output. I have discovered that each time i run my code,it gives a different output which i do not want once i have an acceptable result.
Then initialize the RNG to the same state before training to obtain reproducibility. See any of my training example posts.