Why do i receive Uncoonected input?
7 views (last 30 days)
Show older comments
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')
];
lgraph = layerGraph(layers);
lgraph = connectLayers(lgraph,'reluInp','add11/in2');
lgraph = connectLayers(lgraph,'relu11','add12/in2');
skip1 = [
convolution2dLayer(1,2*netWidth,'Stride',2,'Name','skipConv1')
batchNormalizationLayer('Name','skipBN1')];
lgraph = addLayers(lgraph,skip1);
lgraph = connectLayers(lgraph,'relu12','skipConv1');
lgraph = connectLayers(lgraph,'skipBN1','add21/in2');
lgraph = connectLayers(lgraph,'relu21','add22/in2');
skip2 = [
convolution2dLayer(1,4*netWidth,'Stride',2,'Name','skipConv2')
batchNormalizationLayer('Name','skipBN2')];
lgraph = addLayers(lgraph,skip2);
lgraph = connectLayers(lgraph,'relu22','skipConv2');
lgraph = connectLayers(lgraph,'skipBN2','add31/in2');
lgraph = connectLayers(lgraph,'relu31','add32/in2');
options = trainingOptions('sgdm', 'MiniBatchSize',128,'MaxEpochs',10,'InitialLearnRate',1e-4,'ExecutionEnvironment','parallel');
%[trainedNet1,traininfo] = trainNetwork(trainData,lgraph,options);
class = trainedNet1;
convnet= trainNetwork(trainData,layers,options);
Hello Community, please I have a problem with this code, when i run it they said:
Error in NOUVEAU (line 107)
convnet= trainNetwork(trainData,layers,options);
Caused by:
Layer 'add11': Unconnected input. Each layer input must be connected to the output of another layer.
Detected unconnected inputs:
input 'in2'
Layer 'add12': Unconnected input. Each layer input must be connected to the output of another layer.
Detected unconnected inputs:
input 'in2'
Layer 'add21': Unconnected input. Each layer input must be connected to the output of another layer.
Detected unconnected inputs:
input 'in2'
Layer 'add22': Unconnected input. Each layer input must be connected to the output of another layer.
Detected unconnected inputs:
input 'in2'
Layer 'add31': Unconnected input. Each layer input must be connected to the output of another layer.
Detected unconnected inputs:
input 'in2'
Layer 'add32': Unconnected input. Each layer input must be connected to the output of another layer.
Detected unconnected inputs:
input 'in2'
0 Comments
Answers (0)
See Also
Categories
Find more on Image Processing and Computer Vision in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!