jonghoong
Newbie level 1
I am currently working on backpropagation neural network in face recognition and I have done with my feature extraction part (eigenfaces). The problems is how would I define the inputs and target of the NN in order to create NN?
Let say, I have a folder of training set consists of 20 images of 10 people where 2 images per person and another folder of testing set consists of 10 images of 10 different people. I would like to train the NN first and then test and classify the image that I browsed from my own GUI.
So, what should I put the in the inputs? The weight of each eigenfaces? or the eigenvectors? and output should be the weight/eigenvectors of the testing image?
Let say, I have a folder of training set consists of 20 images of 10 people where 2 images per person and another folder of testing set consists of 10 images of 10 different people. I would like to train the NN first and then test and classify the image that I browsed from my own GUI.
So, what should I put the in the inputs? The weight of each eigenfaces? or the eigenvectors? and output should be the weight/eigenvectors of the testing image?