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Modifying inceptionv3 (pre-trained deep learning network)

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JUNGUK KO
JUNGUK KO le 3 Déc 2018
Commenté : JUNGUK KO le 4 Déc 2018
Hello,
I am trying to modify inceptionv3 (this is built-in function of 'Deep Learning Toolbox') to make a new network for deep learning, such as different feature map and connections of layers, etc. Of course, I can simply modify the network as below,
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
net = inceptionv3;
[learnableLayer, classLayer] = findLayersToReplace(lgraph);
new_layer = fullyConnectedLayer(numClasses, 'Name', 'flower_fc', 'WeightLearnRateFactor',10, 'BiasLearnRateFactor',10);
lgraph = replaceLayer(lgraph,learnableLayer.Name,new_layer);
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
But, I can not edit the very detail structure of this inceptionv3 to customize...
My question is how to look into the details of inceptionv3, the built-in function, to modify its structure and parameters.
I tried to modify 'inceptionv3' with this command 'edit inceptionv3' and look into the code as below
[SL: Removed the text of the inceptionv3 function that is part of Deep Learning Toolbox. Please do not post the text of MathWorks functions.]
As you see the code is too simple to represent the inceptionv3 network. How can I look into the details of inceptionv3
Thank you for help!

Réponse acceptée

Sean de Wolski
Sean de Wolski le 3 Déc 2018
You can import the layers from the base workspace of MATLAB into the Deep Network Designer and modify it there.
  1 commentaire
JUNGUK KO
JUNGUK KO le 4 Déc 2018
Thank you so much for your kind answer :)

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Plus de réponses (1)

Steven Lord
Steven Lord le 3 Déc 2018
I believe the network is stored in a MAT-file. Don't modify the contents of that MAT-file, as doing so could negatively impact other functions or examples in Deep Learning Toolbox that use this network. I would prefer the approach you've described, where you modify the network as returned by the inceptionv3 function.

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