A performance comparison of three popular techniques (Contrastive, Triplet & Quadruplet loss) used to train similarity learning algorithms on the Quora dataset [1] — Through this article, I will evaluate and compare three different losses for the task of Deep Similarity Learning. If this topic is still not perfectly understandable to you, I have written an article introducing the main concepts with code examples as well as a complete GitHub repository for you to…

An in-depth review of a Deep Learning technique for the task of similarity classification. — In this article, I will go through my take on the general concept of Similarity Learning, which processes it involves and how it can be summarized. I will then apply these outlined concepts to the context of sequence similarity detection with question similarities. Table of Contents Overview…

A quick review of different DL architectures for the TiSeLaC challenge — Presented back in 2017 by the Université de Montpellier, the TiSeLaC challenge [1] (TiSeLaC for Time Series Land Cover) consists in predicting Land Cover class of pixels in Time Series of satellite images. Table of Contents What is Time Series Satellite Imagery What about TiSeLaC dataset ? TiSeLaC classification task Conclusion