How to train features that have been extracted by using GoogleNet?
    7 visualizzazioni (ultimi 30 giorni)
  
       Mostra commenti meno recenti
    
Hello,
I extracted features by using GoogleNet, but I do not know how to train it to create classifier?
Thanks in advance
6 Commenti
Risposte (2)
  Jatin Waghela
    
 il 3 Ott 2017
        If I understood you correctly, you would like to transfer learning to retrain GoogLeNet to create a classifier.
Please refer to the below documentation link which gives more information on Pretrained GoogLeNet convolutional neural network:
7 Commenti
  Sivaramakrishnan Rajaraman
 il 28 Nov 2017
				Has anyone tried to extract features from layers other than pool5-drop_7*7_s1? If so what is the syntax?
  umit kacar
 il 7 Mar 2018
				https://www.mathworks.com/matlabcentral/answers/379635-error-using-activations-with-googlenet-in-r2017b#answer_302390
  michael scheinfeild
      
 il 22 Lug 2018
        use some layer as the feature . then you can use it for other classifier
    net = googlenet;
    inputSize = net.Layers(1).InputSize;
    imds = imageDatastore(dbpathSave)
    augimdsTrain = augmentedImageDatastore(inputSize(1:2),imds );
    %%Extract Image Features
    layer = 'loss3-classifier';%1000
    featuresTrain = activations(net,augimdsTrain,layer,'OutputAs','rows');
0 Commenti
Vedere anche
Categorie
				Scopri di più su Deep Learning Toolbox in Help Center e File Exchange
			
	Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!






