Training neural network for facial expression classification
显示 更早的评论
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
2012-5-17
0 个投票
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
2012-5-16
0 个投票
Are you doing that using PCA??
2 个评论
remo
2012-5-18
pooja rani
2019-3-20
Hi Remo,
can u share code of training NN classifier with LBP features .
类别
在 帮助中心 和 File 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 
