I need guidance for a project which I’m building as a way to learn DL.
You see, I would like to build a model that can both:
- recognize faces
- and recognize expressions/emotions
Input: photo -->
Output: that’s John Doe, he’s happy
My question is:
Should I build 2 classifiers, 1 that identifies faces and 1 which recognizes emotions, then combine them (is transfer learning applicable?)
Should I build a multilabel classifier ?
What do you think is the best approach and why ? Thanks for your advice.