I need to improve my model of Convolutional Neural Network (CNN). The goal is to recognize facial expression. I've been using some strategies like dropout for regularization and Adam optimazer, but i can get a good accuracy. Therefore I'm trying to implement PCA.
I use to filters for convolution, max pooling after each one and relu for activation. The highest accuracy i could get was 0.6.
I am working with Tensorflow. How can I do that?
Or there is another way to implemente pre-training to a CNN.
Thanks in Advance