Beyond triplet loss : One shot learning experiments with quadruplet loss

#artificialintelligence 

This article is a follow up to my previous article about One Shot learning, Siamese networks and Triplet Loss with Keras. "One Shot Learning" and "Mining" are described there, so if you're not familiar with these concepts yet, I highly recommend you read that first. A friend of mine says that, to make significant progress in machine learning, one should read research papers on the field. While browsing research papers, I found this one "Beyond triplet loss: a deep quadruplet network for person re-identification" that seemed to be a source of improvement over my previous work and I decided to try to recreate what they have done but for my particular case. This article is about exploring the paper and implementing some of the concepts in the research paper with Keras.

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