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Todo
Here is a list of things to do:
- Backpropagation variations ( delta-bar-delta, quickprop, etc.)
- More neural network architectures and learning rules: ART, Counterpropagation, Jordan, Elman, Backpropagation Through Time, Probabilistic Neural Network, Interactive Activation Controller, Optimal Brain Damage (all other are welcome too)
- Deep Learning: Restricted Boltzman Machines, Deep Belief, Autoencoder
- Multithreading support using Java parallel streams
- Distributed processing using Apache Spark
- Support for spiking networks
- Brain research tools using Neuroph
- Use of genetic algorithms in neural network learning
- Applications (tools or code samples): image recognition, medical image recognition, face recognition, OCR, EEG signal classification
- JBoss application server performance prediction using Neuroph neural networks, based on the number and type of requests
For more info see how you can contribute and Neuroph Manifesto
Contact project admin at sevarac@gmail.com |
