Using TF Keras to build a face recognition using architecture from FaceNet
Note: keras-facenet-h5
and the variables
folder in keras-facenet_tf23
could not be uploaded to GitHub
- Differentiate between face recognition and face verification
- Implement one-shot learning to solve a face recognition problem
- Apply the triplet loss function to learn a network's parameters in the context of face recognition
- Explain how to pose face recognition as a binary classification problem
- Map face images into 128-dimensional encodings using a pretrained model
- Perform face verification and face recognition with these encodings