Introduction to Deep Similarity Learning for sequences
Medium post
Abstract
Deep Similarity Learning is the training of a deep learning architecture to learn to detect similarity and disimilarity between two inputs (or more). In this article, I focused on similarities between sentences, presenting the theory as well as functionable code applied to a concrete task (question duplicate detection in Quora dataset).
Type
Publication
Introduction to Deep Similarity Learning for sequences
Thomas Di Martino
PhD Student in AI & Remote Sensing
My research interests include deep learning technologies, automatic feature extraction and computer vision, all of them applied to Remote Sensing problematics, more precisely to Synthetic Aperture Radar (SAR) acquisitions.