Java Neural Network Framework Neuroph Reviews

Simple and easy to use java framework for neural networks! I made some code examples of Artificial Intelligence / Machine Learning experiments with the neuroph-2.94 library. The starting point into the github is located under Bagatur chess engine project. Although the ELO strength of the experimental version is with 50 ELO less than the version with the manually tuned evaluation function’s parameters, the results are successful meaning that the neural network’s backpropagation algorithm works as expected for multi layer perceptron neural network. This makes the experiments a good showcase of neuroph library.

Very interesting

As for Java, it is one of the best open source AI framework available.

Excellent project. Thanks

Great project! Can't wait for the implementation of spiking neural networks!

Great architecture, well-thought out, VERY intuitive. Lots of examples, good algorithms, good and active community from the bits I've read on forums. There's future for this library! Only wish it was a tad faster to catch up with the leaders in performance.

It requires good knowledge of neural networks to properly use. Good tool to learn how to make general purpose artificial intelligence!

Good for them who aim to learn neural networks....

Good and useful software

Very good framework. It has one million of applications! Neuroph Studio UI is a bit unstable sometimes, some work to do at this.

Stable, full of great features and lightweight. This software is highly recommended!

great software! :)

Really nice project

Awesome! The project team has done a great job with the application. It has a very easy interface for building and testing Neural Nets.

Great way to learn java and neural networks ;)

Superb!!

Rock 'n' Roll! Respect!