Java Library for Neural Networks
Recently I’ve been playing with a tool set called JOONE. The goal of the JOONE project is to produce a fast prototyping environment for Neural Nets and a series of libraries to training these networks. I have so far ignored the prototyping environment, but I do find the libraries quite useful.
Two years ago I began building a series of base classes in Java that could be used to create neural networks. I managed to get it to a somewhat useable state, but it needed a lot of cleaning up before I could release it or expand it to apply to a larger set of problems. I found JOONE while writing my libraries, but shelved it because my goal was to learn more about machine learning. Just using an existing toolset hides most the important “educational” bits. I returned to JOONE a few months ago, and discovered it shared many of the design elements had built into my own library along with a bunch of really great features I hadn’t even thought of.
It comes pre-packaged with useful example codes to get you started, and an extensive PDF manual (which could use some copy-editing). I ordered a book (that’s also available online) that discusses the basics of neural nets in the context of JOONE. While I’ve found the book useful, I think the examples are written for a slightly older version of JOONE. Some of the method calls suggested in the book are listed as @deprecated in the actual JOONE source. Fortunately, the examples included with the JOONE source code make this easy enough to modify the book’s samples and use the more modern methods.
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