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).

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Introduction to Deep Similarity Learning for sequences
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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.

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