Java Neural Network Framework Neuroph version 2.5b is out! This release brings some exciting new features:
1. Neuroph Studio - new GUI based on NetBeans Platform
This new IDE-like GUI provides new experience in working with neural networks in Java. The wizard system makes creation of neural networks and training sets very intuitive, while project, properties and navigator views make easy inspection manipulation. Neuroph Studio also comes with integrated modules for Java development from NetBeans Java IDE. This means that you can develop neural networks, test and deploy them to your Java apps in same development environment!
2. Performance and algorithm optimizations
Performance improvment was one of the main goals for this release. We have improved performance at Java level by using lighter and faster data structures, and there are also very significant improvements of learning algorithms.
All these makes Neuroph 2.5 few times faster then previous releases, and we think that should resolve performance issues reported for previous versions. We also provided integration with high performance Encog neural network engine.
3. Integraton with Encog Engine
Encog Engine is high performance neural network library which provides support for advanced technologies like multi core and GPU (Graphical Processing Unit) processing, and some advanced learning rules like Resilient Propagation. Neuroph provides easy integration with Encog Engine using simple switch to turn on/off Encog Engine. What this means, is that you can use friendly, easy to understand Neuroph API for research and development, and then you can turn on hight performance Encog Engine for production environment. At the moment Encog Engine only supports Multi Layer Perceptrons with Resilient Backpropagation, but in future it will be extended for other architectures and learning rules.
Full release announcement with technical details is available here.