Raafi101/FaceIDWithSiameseNetworks

One-shot learning approach to create a model trained off thousands of pairs of images that can determine whether 2 images contain the face of the same person or not. Used a Siamese network architecture to create embedding vectors in representation space for 2 images at a time. Minimized contrastive loss using SGD. Optimized for precision (85%).

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