A Self-supervised learning algorithm that uses summation and difference of embedding vectors

Introduction

Self-supervised learning is the learning method for Deep Learning models that tries to capture meaningful features without the supervision of humans that force the model to map input data to specific labels. …

Humans as pattern machines

Imagine yourself discussing with someone. Have you ever just stopped at that moment and thought “What am I talking about?”. Sometimes we get into the discussions so deep that all that conversation continues intuitively. It is like we lose our consciousness and the conversation just flows by itself. Agreements and…

Photo by Murray Campbell on Unsplash

Tekin Evrim Ozmermer

AI Developer In “>”, Interested in Artificial Intelligence, Human Intelligence, Economical inequality, and all other interesting stuff.

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