- FaceNet (Google)
- They use a triplet loss with the goal of keeping the L2 intra-class distances low and inter-class distances high
- DeepID (Hong Kong University)
- They use verification and identification signals to train the network. Afer each convolutional layer there is an identity layer connected to the supervisory signals in order to train each layer closely (on top of normal backprop)
- DeepFace (Facebook)
- Convs followed by locally connected, followed by fully connected
fancycheung
/ DeepLearningFaces.md
Created
August 25, 2017 02:06
— forked from jdsgomes/DeepLearningFaces.md
Deep Learning for Face Recognition
fancycheung
/ spacy_intro.ipynb
Created
June 19, 2017 02:03
— forked from aparrish/spacy_intro.ipynb
NLP Concepts with spaCy
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