MATLAB Answers

remo
0

Training neural network for facial expression classification

Asked by remo
on 28 Feb 2012
Latest activity Commented on by pooja rani on 20 Mar 2019
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..

  0 Comments

Sign in to comment.

2 Answers

Answer by Greg Heath
on 17 May 2012
 Accepted Answer

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

  0 Comments

Sign in to comment.


Answer by vaibhav
on 16 May 2012

Are you doing that using PCA??

  2 Comments

Hi Vaibhav,
i have dropped PCA and adopted LBP for this project
Hi Remo,
can u share code of training NN classifier with LBP features .

Sign in to comment.