@neuroph

Java Neural Network Framework

 Belgrade
neuroph.sourceforge.net
Joined November 2009
  • Tweets285
  • Following81
  • Followers362
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Join us for the first @foojayio Online Webinar and learn how to build, train, and deploy AI/ML models entirely in Java -no stack switching, no Python glue code, just pure Java power. Monday, April 28th 18:00 CEST | 9AM PT Live on YouTube Speakers @frankgreco @zsevarac @prpatel
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AI💙Java! @DeepNetts next release to include #Neuralnetwork visual Weights Analysis tool. 🆕 Coming soon: 💡#GPU support 💡#GenerativeAI (like #GPT) Built with #JavaFx #JavaFX3D and @netbeans, created by @zsevarac 🤖
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📢 #Java 20 Launch! 📢 @Java developers, #Java20 is right around the corner. Join the #Java Team either in-person or online for the launch as part of @oracle's new FREE "DevLive: Level Up" event series. Learn more: inside.java/2023/02/27/devli… Register here: developer.oracle.com/communi…
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Apache NetBeans 16 has been released. This release is the result of 26 contributors, some of whom are first-time contributors. THANK YOU! Download now: bit.ly/3Ixe9BK #opensource
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Neural network visual Weights Analysis tool under development for the next @DeepNetts release. It helps understanding what's going on inside layers, and debugging trained networks. Built with #JavaFx #JavaFX3D and @netbeans #java #ai #machinelearning #deeplearning
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Do you know that you can create #Java native AI/ML models using friendly IDE? Download Deep Netts 3.0 and start building your AI models now deepnetts.com/download
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For all your complex AI development needs in #Java, when you have more data and performance needs, you should take a look at @DeepNetts Professional Edition, introduced on Foojay.io Today by @zsevarac! foojay.io/today/getting-star… #foojaytip

foojay.io - Friends Of OpenJDK

Foojay is a place for Friends Of OpenJDK, providing free, reference materials and blogs for daily Java usage.

foojay.io
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"In our experience Deep Netts is definitely the best starting place for someone trying to implement platform-independent neural networks software for small or big projects" - Learn more deepnetts.com/blog/deep-lear…
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Great comparison of available deep learning libraries in Java. And very interesting results for running #DeepNetts on @graalvm
Paul King@paulk_asert25 Jun 2022
Classifying Iris Flowers with Deep Learning, Groovy and GraalVM blogs.apache.org/groovy/entr… @DeepNetts @EclipseDL4J @jeffheaton @ApacheGroovy @graalvm #groovylang #deeplearning #jsr381 #visrec
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Awesome, thanks for the example! I had an idea for a while to use @ApacheGroovy as a scripting language on top of it to get python-like experience for ml. Thanks for starting this! – at Belgrade, Republic of Serbia
Paul King@paulk_asert21 Jun 2022
Replying to @foojayio @zsevarac
@zsevarac Nice! I don't know why I hadn't had a play with @deepnetts before. Works well from @ApacheGroovy too. Here's Iris classification Groovified: github.com/paulk-asert/groov… #datascience #machinelearning #ai #groovylang
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🤖🖥️ Register for our next #IntelliJIDEALiveStream , “Java-Friendly Machine Learning With the JSR381”, hosted by @frankgreco, @zsevarac, and @eMalaGupta. May 25, 2022, 3:00 pm – 4:00 pm UTC info.jetbrains.com/idea-webi… #Java #ML #MachineLearning #JSR381 #VisRec

Java-Friendly Machine Learning With the JSR381

Machine learning (ML) is a hugely important global trend that affec...

youtube.com
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Support for importing trained Keras models into @DeepNetts under development in latest @netbeans 13 @fchollet #java #ai #machinelearning #deeplearning
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Machine learning is not a solution, it is a tool #AI #MachineLearning #DeepLearning
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How @neuroph turned @netbeans IDE into ILE (Interactive Learning Environment) for learning neural networks tandfonline.com/eprint/4PE3A…

EXPLODE – a new model of exploratory learning environment for neural networks to improve learning...

The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development ...

tandfonline.com
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EXPLODE – a new model of exploratory learning environment for #neuralnetworks to improve learning outcomes tandfonline.com/doi/full/10.…

EXPLODE – a new model of exploratory learning environment for neural networks to improve learning...

The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development ...

tandfonline.com
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Deep Netts 2.1.0 is available for free download! It supports #JSR381 Standard Java API for Visual recognition and #machinelearning and provides friendly tools based on @netbeans for debugging and understanding #deeplearning models for image classification deepnetts.com/blog/deep-nett…
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Checkout this Meetup with Deep Java Dev: Building more powerful Java apps with AI using Deep Netts Understand how your Java application and it's users can benefit from AI/machine learning #MachineLearning #DeepLearning meetu.ps/e/KRngN/DfLcp/i
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Release of #JSR381 is an important step towards stronger support for #machinelearning and #AI on @Java platform. We invite all #Java projects to provide feedback, use or implement API and contribute @WekaMOOC @haifengl @EclipseDL4J @deepjavalibrary @knime @RapidMiner
JCP@jcp_org11 Feb 2022
JSR 381 Visual Recognition Specification posted its Final Release: jcp.org/aboutJava/communityp… #VisRec #JSR381 #JSRupdate
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Neuroph retweeted
JCP@jcp_org11 Feb 2022
JSR 381 Visual Recognition Specification posted its Final Release: jcp.org/aboutJava/communityp… #VisRec #JSR381 #JSRupdate
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Are you a #Java developer? Learn how to make your Java app more powerfull using #AI using friendly Java API. Join my @fosdem session Deep Learning for Java Developers on 6th February #deeplearning #machinelearning #deepnetts fosdem.org/2022/schedule/eve…
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