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Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
Features
- Supports Multi Layer Perceptrons with Backpropagation
- Image Recognition Support
- Easy to use GUI for creating and experimenting with NN
- Supports various other neural network and learning rules
- Easy to use API
Project Samples
License
Apache License V2.0Follow Java Neural Network Framework Neuroph
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User Reviews
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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.
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Very interesting
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As for Java, it is one of the best open source AI framework available.
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Excellent project. Thanks
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Great project! Can't wait for the implementation of spiking neural networks!