How to Classify New Dataset using Two trained models

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hammad younas
hammad younas 2022-1-28
评论： David Willingham 2022-6-3
I have trained two models on a dataset
I want to Classify new data using the both the trained model. But Classify take one trained network. How can i do that?
Resnet50.mat
Resnet18.mat
rxTestPred = classify(resnet.trainedNet,rxTestFrames);
testAccuracy = mean(rxTestPred == rxTestLabels);
disp("Test accuracy: " + testAccuracy*100 + "%")
  2 个评论
KSSV
KSSV 2022-1-28
Question is not clear. What problem you have in using the trained model ofr new data?
hammad younas
hammad younas 2022-1-28
@KSSV I want to Classify rxTestFrames using Two trained Model one is Resnet18 and other is Resnet50

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回答（1 个）

yanqi liu
yanqi liu 2022-2-8
yes，sir，may be use different load variable，such as
net1 = load('Resnet50.mat')
net2 = load('Resnet18.mat')
rxTestPred = classify(net1.resnet.trainedNet,rxTestFrames);
testAccuracy = mean(rxTestPred == rxTestLabels);
disp("Resnet50 Test accuracy: " + testAccuracy*100 + "%")
rxTestPred = classify(net2.resnet.trainedNet,rxTestFrames);
testAccuracy = mean(rxTestPred == rxTestLabels);
disp("Resnet18 Test accuracy: " + testAccuracy*100 + "%")
  3 个评论
显示 1更早的评论
Nagwa megahed
Nagwa megahed 2022-6-2
please i ask if you reach to how implement ensemble learning in matlab ?? as i need to perform ensemble learning between more than three different networks
David Willingham
David Willingham 2022-6-3
See this page for information on how to work with multi-input multi-output networks in MATLAB: Multiple-Input and Multiple-Output Networks

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