transfer learning using Pre-trained vgg-16
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How can I train my own CNN using the pre-trained imagenet-vgg-verydeep-16 network. I have tried to use the fully connected layer 'fc7' to train my network and I get the following error.
Undefined function or variable 'activations'. trainingFeatures = activations(convnet, trainingSet, featureLayer, ...
can anybody help please.
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mizuki
le 13 Août 2017
The function "activations" is in Neural Network Toolbox. Do you see NNTB in your license? First check with the following command:
>> ver
Also, the path might not be set correctly. Please follow the below article.
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mizuki
le 15 Août 2017
NNTB appeared to the output of VER, which means NNTB is installed. I did not get what you have tried exactly. Did you type
>> which -all activations
and resulted in the error message " activations not found"? If so, that is fine since activations is a class, which is not usually searched with doc command.
The situation that AlexNet worked fine but VGG16 does not work sounds that your installation of VGG16 did not work well. How about the result of
>> which -all vgg16
Have you tried the following commands, which is on the page that I mentioned before?
>> restoredefaultpath
>> rehash toolboxcache
>> savepath
Also, ACTIVATIONS is: - activations https://www.mathworks.com/help/releases/R2017a/nnet/ref/seriesnetwork.activations.html
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