If you haven't already, check out Synaptic [1] by Juan Cazala. I use it in many of my ML projects and it contains a lot of useful examples and documentation. I recommend you take a look at the source as well, which is easy enough to understand.<p>[1] <a href="https://github.com/cazala/synaptic" rel="nofollow">https://github.com/cazala/synaptic</a>
Those of you HNers working with or studying artificial neural networks (or armchair enthusiasts), is there any research you've seen recently that had you particularly excited?