[bug?]DeepLearningImageClassificationExample not getting the expected classification accuracy
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khcy82dyc
el 16 de Sept. de 2016
Comentada: khcy82dyc
el 5 de Mzo. de 2018
Hello, I've running the DeepLearningImageClassificationExample from MATLAB.
Unfortunately I keep getting unexpected classification accuracy. On the website the mean accuracy suppose to be 1 however the result I got was 0.3.
confMat =
0 1.0000 0
0 1.0000 0
0.0213 0.9787 0
ans =
0.3333
label =
airplanes
I noticed for some reason the trainingFeatures are the same for all the images, after the following line:
trainingFeatures = activations(convnet, trainingSet, featureLayer, ... 'MiniBatchSize', 32, 'OutputAs', 'columns');
I'm using MATLAB 2016a and I have cuda GPU. Can someone please help to test on your machine seee if you also have the problem? Thanks a lot
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Respuesta aceptada
Joss Knight
el 19 de Sept. de 2016
Do you have a new Pascal GPU like the GeForce GTX 1080? If so, this is your issue:
I do apologise for this. We are waiting on a fix from NVIDIA.
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