How to add HOG feature to the following code
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Here is the code for the neural network, "Latest.mat" contains training and test images for the neural network,
- I need to see the accuracy and
- I need to add "HOG feature" and using that i need to compare between the training and the test images, Please can anyone help me with that please
clc; clear all;
%%
load latest.mat; trainFcn = 'trainscg'; % Scaled conjugate gradient backpropagation.
net.performFcn = 'mse'; %newly added
hiddenLayerSize = 100; %net = patternnet(hiddenLayerSize); net=feedforwardnet([20 10]);
view (net); net.divideParam.trainRatio = 70/100; net.divideParam.valRatio = 15/100; net.divideParam.testRatio = 15/100;
net.trainParam.epochs = 100;
[net,tr] = train(net,training,test); y = net(training); e = gsubtract(test,y); performance = perform(net,test,y) tind = vec2ind(test); yind = vec2ind(y); percentErrors = sum(tind ~= yind)/numel(tind);
%net.IW{1,1}; %net.b{1}; %net.LW {1};
% View the Network view(net)
Thank You
6 个评论
Greg Heath
2017-4-25
The fudamental role of the validation subset is clearly explained in the documentation.
You can also search both the NEWSGROUP and ANSWERS using the search word
validation
Hope this helps.
Greg
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