Default number of epochs
28 views (last 30 days)
Show older comments
Ton Schomaker
on 19 Sep 2012
Edited: Walter Roberson
on 12 Jul 2016
Is it true that the default number of epochs in
[net, tr] = train(net,trainV,trainT)
is 1000?
When looking at help information on other training functions like trainlm it shows that default values of its training parameters are:
net.trainParam.epochs 100 Maximum number of epochs to train
Who can give a clear answer on this question. Thanks in advance, Ton S.
1 Comment
Thomas Kanzig
on 9 Jan 2016
Its true my friend. You must insert a biggest number for obtain a better trainings.
Accepted Answer
Greg Heath
on 20 Sep 2012
Edited: Walter Roberson
on 12 Jul 2016
In the good ol' days it used to be 100. Now it seems to be 1000.
The info in the documentation of trainlm, trainscg and probably others, needs to be updated.
clear all, clc,
x = randn(1,100);
t = x.^2;
net = newff(x,t,10);
trainfunc = net.trainFcn % trainlm
numepochs = net.trainParam.epochs % 1000
net = newfit(x,t,10);
trainfunc = net.trainFcn % trainlm
numepochs = net.trainParam.epochs % 1000
net = newpr(x,t,10);
trainfunc = net.trainFcn % trainscg
numepochs = net.trainParam.epochs % 1000
net = fitnet(10);
trainfunc = net.trainFcn % trainlm
numepochs = net.trainParam.epochs % 1000
net = patternnet(10);
trainfunc = net.trainFcn % trainscg
numepochs = net.trainParam.epochs % 1000
net = feedforwardnet(10);
trainfunc = net.trainFcn % trainlm
numepochs = net.trainParam.epochs % 1000
Hope this helps.
Thank you for officially accepting my answer.
Greg
1 Comment
Greg Heath
on 20 Sep 2012
The documentation in help trainlm and help trainscg contains these two statements:
1. Training occurs according to training parameters, with default values
2. Any or all of these can be overridden with parameter name/value argument pairs appended to the input argument list, or by appending a structure argument with fields having one or more of these names.
Athough doc traincsg and doc trainlm do not contain the second statement, they have the CORRECT VERSION of the first statement:
1. Training occurs according to training parameters, shown here with default values
Hope this helps.
Greg
P.S. Don't forget to formally accept my answer
More Answers (1)
See Also
Categories
Find more on Define Shallow Neural Network Architectures in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!