Matlab tool for CNN-SVM implementation

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Saugata Bose 2019-6-19

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https://ww2.mathworks.cn/matlabcentral/answers/467933-matlab-tool-for-cnn-svm-implementation

编辑： Hiro Yoshino 2022-11-3

Dear

I am using Matlab in a deep learning project. It has extensive support for implementing CNN and LSTM. My query is does Matlab support combination of CNN and a linear classifier in a model?

I want to mean that, using a trainNetwork function either supports lstm implementtion or CNN implementation based on the defintioin we created in layers and options field. But if I want to apply a linear classifier after the fully conneted layer, will Matlab support such type of modification through its deep learning toolbox?

Any kind of advice in this regard on how to infuse svm with cnn will be highly regarded.

thanks,

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H W 2022-11-3

编辑：KSSV 2022-11-3

在 MATLAB Online 中打开

you can divide the system into two process

the first is cnn to obtain the features

the second is SVN to linear classifier

the connect features is

% Extract features from 'fc' layer form cnn.
layer = 'fc';
featuresTrain = activations(net,Traindata,layer,'OutputAs','rows');
% Train SVM classififer with those features.
YTrain = Train.Labels;
classifier = fitcecoc(featuresTrain,YTrain);