Hey everyone, I'm writing again to the listserv for pointers on my ongoing senior thesis using NuPIC. I've scaled back my ambitions quite a bit after some sorely needed and well written advice from Fergal. I'm now trying to simply use the spatial pooler as a sparse auto-encoder to do feature detection in images. To start out with a simple case, I'm trying to build a network with an ImageSensor at the bottom, several SPRegions, then an SVM ClassifierNode at the top. In general, I've found the in-code documentation for the regions/ directory to be fantastic and the nodeSpecs are very helpful. I think I have a good understanding of how to add regions and links, but I have a few questions about running the network.
- when do I call net.initialize() ? What does that do? - what is the relationship between calling net.run(), which I assume it advances everything one step, and the ImageSensor region reading in images and moving across them with the explorer? - are there more examples of using the Network Engine? I've been working off the CLA implementation but it would be cool if there was something else that uses it. - is there more documentation about using the Network Engine besides the stuff at https://github.com/numenta/nupic/wiki/Nupic-architecture? Of course I'd love to hear any comments or tips anyone thinks is helpful. Thanks so much to everyone who's responded to any of my messages. Happy holidays, Neal
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