Dividing data for neural network

3 次查看（过去 30 天）
Rita
Rita 2017-3-10
If I want to use dividerand and retraining for 10 times shoould the dividerand also be on the loop of 10 times or it should be out of the loop?
% dividing the data randomly
net.divideFcn = 'dividerand';
net.divideMode = 'sample'; % Divide up every sample
net.divideParam.trainRatio = 70/100;
net.divideParam.valRatio = 15/100;
net.divideParam.testRatio = 15/100;
for j=1:100 % number of hidden neuron
net = feedforwardnet(j);
for i =1:10 % 10 times for creating 10 network
net = configure(net,inputs,targets);
[ net tr y e ] = train(net,inputs,targets);
save net
end
end
If the function "configure" can define different initial weights and rng, how about the different random dividing of data (which allocates 70/15/15 among train/val/test)? Should we use different division of dataset for each neuron or repetition ? or the division of datasets should be the same for each neuron? Thanks

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by