For this project, a partner and I designed and implemented a facial recognition software. For the sake of comparison, we decided to design and implement two competing architectures, each utilizing a different loss method for the neural network. The cross-entropy and triplet loss methods were compared for performance and scalability. The triplet loss method was chosen due to it's flexibility in adjusting to larger datasets and popularity in industry.
ndiekema/face_recognition
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