Zoran Sevarac

Tensorflow Support for Deep Netts 3 Has Been Released

Deep Netts v3.0 release is the major breakthrough that brings compatibility with Tensorflow, the leading industry deep learning framework from Google. It is a major step towards vision of having high quality, user friendly, Java-native solution for AI. In addition to Tensorflow support this release also brings improved accuracy and speed. Learn more exciting …

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Deep Learning in Java for Nuclear Physics using Deep Netts

Article by Dr. Gagik Gavalian, Thomas Jefferson National Accelerator Facility The CLAS12 detector at Jefferson Lab conducts nuclear physics experiments to study the structure of nucleons and new particle states. At the core of detector setup are drift chambers measuring charged particles resulting from the interaction of an electron beam with a liquid hydrogen …

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Visual Recognition for Chess using Deep Learning in Java on Android

Article by Krasimir Topchiyski, MetaTrans Games Over the last few decades, the technological advancement in the Artificial Intelligence (AI) field has greatly assisted many chess grand masters’ preparation as well as understanding chess theory. There are programs called chess engines, like Bagatur, Stockfish, and Komodo, which play extremely strong chess.  These engines make deep …

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Modern Machine Vision from Basics to Advanced Deep Learning

Zoran Sevarac, Associate Professor at the University of Belgrade and Co-founder and CEO of Deep Netts, presents the “Modern Machine Vision from Basics to Advanced Deep Learning” tutorial at the May 2021 Embedded Vision Summit. In this talk, Sevarac introduces the fundamentals of deep learning for image understanding. He begins by explaining the basics …

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