Error using activations functions in matlab
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Hi,
I trying to replace the pre-trained CNN fully connected layer with mine 'new_fc'.
imds = imageDatastore('MerchData', 'IncludeSubfolders',true, 'LabelSource','foldernames');
[imdsTrain,imdsValidation] = splitEachLabel(imds,0.7);
testnet = resnet18
inputSize = testnet.Layers(1).InputSize
augimdsTrain = augmentedImageDatastore(inputSize(1:2),imdsTrain)
augimdsValidation = augmentedImageDatastore(inputSize(1:2),imdsValidation)
if isa(learnableLayer,'nnet.cnn.layer.FullyConnectedLayer')
newLearnableLayer = fullyConnectedLayer(7, ...
'Name','new_fc', ...
'WeightLearnRateFactor',10, ...
'BiasLearnRateFactor',10);
elseif isa(learnableLayer,'nnet.cnn.layer.Convolution2DLayer')
newLearnableLayer = convolution2dLayer(1,7, ...
'Name','new_conv', ...
'WeightLearnRateFactor',10, ...
'BiasLearnRateFactor',10);
end
lgraph = replaceLayer(lgraph,learnableLayer.Name,newLearnableLayer)
newClassLayer = classificationLayer('Name','new_classoutput')
lgraph = replaceLayer(lgraph,classLayer.Name,newClassLayer)
layer = 'new_fc';
activations(lgraph,augimdsTrain,layer,'OutputAs','rows')
The error message that i got is as below.
"check for incorrect argument data type or missing argument in call to function 'activations'.
Hope someone could help on this. Thank you in advance.
采纳的回答
yanqi liu
2022-3-23
yes，sir，if modify net structure，may be need retrain it，then use activations to get feature
so，may be use
featuresTrain = activations(testnet,augimdsTrain,'fc1000','OutputAs','rows')
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