This notebook is a simple intro to creating features in facial recognition; specifically, it examines extracting features from images using a Restricted Boltzmann Machine.
The image set is The Yale Face Database, which contains 165 grayscale images in GIF format of 15 individuals. There are 11 images per subject, one per different facial expression or configuration: center-light, w/glasses, happy, left-light, w/no glasses, normal, right-light, sad, sleepy, surprised, and wink.
Additional credit goes to the creators of this normalized version of this dataset. The centered versions of the images are what are used in this analysis.