Neuroph
@neuroph
Followers
370
Following
357
Media
14
Statuses
286
Java Neural Network Framework
Belgrade
Joined November 2009
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
0
2
2
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 🤖
0
11
14
📢 #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: https://t.co/58pV6fUvbz Register here: https://t.co/bTORv2rjSX
9
94
232
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: https://t.co/bJVqtsGpoJ
#opensource
0
14
32
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
2
14
39
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 https://t.co/K5CfBaivee
0
3
3
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 https://t.co/zeggXEOtb9 Today by @zsevarac! https://t.co/YNNA6pK0Ed
#foojaytip
foojay.io
For more complex deep learning challenges, more data, and need better performance, take a look at Deep Netts Professional Edition.
0
12
20
"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
0
5
10
Great comparison of available deep learning libraries in Java. And very interesting results for running #DeepNetts on @graalvm
Classifying Iris Flowers with Deep Learning, Groovy and GraalVM https://t.co/u8Jcbd353L
@DeepNetts @EclipseDL4J @jeffheaton @ApacheGroovy @graalvm #groovylang #deeplearning #jsr381 #visrec
0
3
8
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!
@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: https://t.co/9hsVirctkF
#datascience #machinelearning #ai #groovylang
0
11
17
🤖🖥️ 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 https://t.co/KcposiEEcY
#Java #ML #MachineLearning #JSR381 #VisRec
1
16
36
Support for importing trained Keras models into @DeepNetts under development in latest @netbeans 13 @fchollet #java #ai #machinelearning #deeplearning
2
6
22
0
5
6
How @neuroph turned @netbeans IDE into ILE (Interactive Learning Environment) for learning neural networks
tandfonline.com
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 ...
0
4
5
EXPLODE – a new model of exploratory learning environment for #neuralnetworks to improve learning outcomes
tandfonline.com
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 ...
0
0
1
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 https://t.co/stDZaYbgxe
deepnetts.com
Deep Netts 2.1.0 Has Been Released: Better user experience and debugging tools, Improved performance for all types of networks...
0
8
13
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
https://t.co/gZi0Qm1l2l
0
7
8
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
JSR 381 Visual Recognition Specification posted its Final Release: https://t.co/qY4lZ2C7R8
#VisRec #JSR381 #JSRupdate
1
23
41
JSR 381 Visual Recognition Specification posted its Final Release: https://t.co/qY4lZ2C7R8
#VisRec #JSR381 #JSRupdate
0
27
56
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
https://t.co/FtL5k2k08V
0
5
13