Training neural network for facial expression classification

1 次查看(过去 30 天)
Hi all,
I have 15 images of happy face,15 image of sad face and 15 image of angry faces.
My problem is i do not know how to train neural network using all this images. I have separate 50 images for testing purposes.
So,how do i train neural network using output from PCA of each image?
PLZ do guide me since my supervisor is pressuring me lately..

采纳的回答

Greg Heath
Greg Heath 2012-5-17
Use the vectorization operator, : , to convert each processed image to a column vector. The corresponding target vector is a column of eye(3). Once you have the input and target matrices with 45 columns each, use PATTERNNET
help patternnet
doc patternnet
Hope this helps.
Greg

更多回答(1 个)

vaibhav
vaibhav 2012-5-16
Are you doing that using PCA??

类别

Help CenterFile Exchange 中查找有关 Just for fun 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by