BEOGRAD – Suosnivač Deep Netts-a i profesor FON-a na Katedri za softversko inženjerstvo Zoran Ševarac rekao je danas da veštačka inteligencija trenutno ne može nadmašiti ljudsku, ali da se u bliskoj budućnost može očekivati da joj se veoma približi. Za Tanjug dodaje da veštačka inteligencija neće moći da nadmaši ljudsku u smislu da poseduje …
[Video] Veštačka inteligencija se približava ljudskoj? Read More »
This tutorial shows you how to build simple image recognition aka binary image classifier in pure Java. Image classifier uses deep learning to learn from examples how to automatically put images into appropriate categories / folders. In this tutorial we’ll use example images of food to build classifier that is able to distinguish hot …
Deep Netts will be presented at a premium Java conference JavaOne in Las Vegas as a part of the session Make your Java Apps Learn and See. The presentation will provide brief overview of JSR381 Java technology standard for computer vision using machine learning, and show how to learn and build AI for your …
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 …
Tensorflow Support for Deep Netts 3 Has Been Released Read More »
This tutorial walks you through building state of the art AI based on deep learning for image recognition using Java. It will help you to get started with modern AI development using only your Java skills. The example used in the article is recognition of handwritten digits which is commonly used as a hello …
Using Deep Learning in Java for Image Recognition Read More »
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 …
Deep Learning in Java for Nuclear Physics using Deep Netts Read More »
Full source code example is available on GitHub:https://github.com/sevarac/HotDogNotHotDog … Java-Friendly Machine Learning With the JSR381Read More »
The 2.1.0 release is available for download here 1. JSR381 Standard CompliantAs of 2.1.0 release Deep Netts is fully compatible with final release of JSR381 standard Java API for visual recognitionLearn more about JSR381 hereFull examples for visual recognition and machine learning using JSR381 are available on GitHub 2. Better user experience and debugging …
Deep Netts v2.0.1 has been released and is available for free download hereThis release brings a number of usability and security improvements: The Deep Netts IDE is built on Apache NetBeans v12.6 with very nice user interface (many thanks to awesome work by NetBeans community) Deep Netts IDE is available with optional embedded Azul …
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 …
Visual Recognition for Chess using Deep Learning in Java on Android Read More »