Error using activations functions in matlab

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Teo
Teo 2022-3-22
编辑： Teo 2022-3-24
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.

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采纳的回答

yanqi liu
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')
  2 个评论
Teo
Teo 2022-3-23
Hi @yanqi liu,
Thanks for the reply. May i comfirm with you again that i need to retrain it first using "trainNetwork" function then only use the following code?
featuresTrain = activations(lgraph,augimdsTrain,layer,'OutputAs','rows')
or i can directly use the followig code without retrain it as you already provide the solution as followed?
featuresTrain = activations(lgraph,augimdsTrain,'new_fc','OutputAs','rows')
Hope you are able to help on this?
Thank you
Teo
Teo 2022-3-23
Hi @yanqi liu,
i managed to solve the problem. Thank you for your help.

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