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This project uses the ​Labeled Faces in the Wild​ (LFW) dataset​, and the goal is to train variants of deep architectures to learn when a pair of images of faces is the same ​person​ or not. It is a pytorch implementation of Siamese network with 19 layers.

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LFW_Siamese_Pytorch

This project uses the ​Labeled Faces in the Wild​ (LFW) dataset​, and the goal is to train variants of deep architectures to learn when a pair of images of faces is the same ​person​ or not. It is a pytorch implementation of Siamese network with 19 layers.

Details of this project has been post to my website: https://tianyusong.com/2017/11/16/pytorch-implementation%E2%80%8B-siamese-network/

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This project uses the ​Labeled Faces in the Wild​ (LFW) dataset​, and the goal is to train variants of deep architectures to learn when a pair of images of faces is the same ​person​ or not. It is a pytorch implementation of Siamese network with 19 layers.

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