Problem with convolutionUnit function

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Hind Haboubi
Hind Haboubi 2021년 4월 20일
댓글: Hind Haboubi 2021년 4월 23일
Hello everyone, i wanted to creat a resnet 50 but i get this error:
Unrecognized function or variable
'convolutionalUnit'.
What should i do please?
netWidth = 16;
layers = [
imageInputLayer([224 224 3],'Name','input')
convolution2dLayer(3,netWidth,'Padding','same','Name','convInp')
batchNormalizationLayer('Name','BNInp')
reluLayer('Name','reluInp')
convolutionalUnit(netWidth,1,'S1U1')
additionLayer(2,'Name','add11')
reluLayer('Name','relu11')
convolutionalUnit(netWidth,1,'S1U2')
additionLayer(2,'Name','add12')
reluLayer('Name','relu12')
convolutionalUnit(2*netWidth,2,'S2U1')
additionLayer(2,'Name','add21')
reluLayer('Name','relu21')
convolutionalUnit(2*netWidth,1,'S2U2')
additionLayer(2,'Name','add22')
reluLayer('Name','relu22')
convolutionalUnit(4*netWidth,2,'S3U1')
additionLayer(2,'Name','add31')
reluLayer('Name','relu31')
convolutionalUnit(4*netWidth,1,'S3U2')
additionLayer(2,'Name','add32')
reluLayer('Name','relu32')
averagePooling2dLayer(8,'Name','globalPool')
fullyConnectedLayer(2,'Name','fcFinal')
softmaxLayer('Name','softmax')
classificationLayer('Name','classoutput')
];

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Abhishek Gupta
Abhishek Gupta 2021년 4월 23일
편집: Abhishek Gupta 2021년 4월 23일
Hi,
You are getting this error because MATLAB doesn't recognize the 'convolutionalUnit' as the name of a function on the MATLAB path (see this for more details related to the error message). You can resolve this issue by adding the 'convolutionalUnit' function in your MATLAB path. You can find the code for this function in the documentation link below (just above the references section):-
For your convenience, I am also copy-pasting the code here: -
function layers = convolutionalUnit(numF,stride,tag)
layers = [
convolution2dLayer(3,numF,'Padding','same','Stride',stride,'Name',[tag,'conv1'])
batchNormalizationLayer('Name',[tag,'BN1'])
reluLayer('Name',[tag,'relu1'])
convolution2dLayer(3,numF,'Padding','same','Name',[tag,'conv2'])
batchNormalizationLayer('Name',[tag,'BN2'])];
end

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