Siamese Networks | Face Recognition | Computer Vision on Humans

Building a Face Recognition System using a Deep Learning technique, Siamese Networks. The problem of Similarity Learning is discussed along with a small discussion on Few Shot Learning. And 4 different Loss Functions and the related Training Techniques are also discussed. Feel free to leave a comment or message me on Twitter/LinkedIn in case of any questions, doubts, suggestions or improvements. Twitter: https://twitter.com/MahnaSakshay LinkedIn: https://www.linkedin.com/in/sakshaymahna/ Links Notebook/Code: https://www.kaggle.com/sakshaymahna/siamese-network-original Olivetti Dataset: https://www.kaggle.com/imrandude/olivetti Paper on Siamese Network: https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf Similarity Learning: https://en.wikipedia.org/wiki/Similarity_learning One Shot Learning: https://en.wikipedia.org/wiki/One-shot_learning Different Loss Functions: https://towardsdatascience.com/how-to-choose-your-loss-when-designing-a-siamese-neural-net-contrastive-triplet-or-quadruplet-ecba11944ec Similar Blog on Siamese Network: https://medium.com/wicds/face-recognition-using-siamese-networks-84d6f2e54ea4