Finding two layers to replace in googlenet
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Tahmina Sumi
el 30 de En. de 2020
Comentada: cheng xiao
el 2 de Sept. de 2020
Dear Altruists,
I was trying this example: https://www.mathworks.com/help/deeplearning/examples/train-deep-learning-network-to-classify-new-images.html for deep learning using googlenet.But its showing me error which is "Undefined function or variable 'findLayersToReplace' " in this two lines
[learnableLayer,classLayer] = findLayersToReplace(lgraph);
[learnableLayer,classLayer]
I have tried this lines in the command prompt
edit(fullfile(matlabroot,'examples','nnet','main','freezeWeights.m'))
edit(fullfile(matlabroot,'examples','nnet','main','createLgraphUsingConnections.m'))
edit(fullfile(matlabroot,'examples','nnet','main','findLayersToReplace.m'))
But i'm not getting any fruitfull result...
Please help me creating the function of findLayersToReplace.
Thanks in advance.
2 comentarios
Mohammad Sami
el 30 de En. de 2020
Editada: Mohammad Sami
el 30 de En. de 2020
Do you have deep learning and neural network toolbox ?
What is your matlabs version ?
Respuesta aceptada
Mohammad Sami
el 31 de En. de 2020
For R2018a, you can follow this tutorial. Essentially it shows you what the findLayersToReplace function was doing.
For most transfer learning applications, we remove the final fully connected layer, softmax layer and classification layer.
These are then replaced with your own fc, softmax and classification layers.
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