I have a bunch of data I think deep belief networks would work well on. I know the theory well, but I'm not in the mood to code up my own solution.
I'd prefer something in R or Python because that's where I primary do my work and my data is stored in R matrices (which I can easily load into python using rpy2).
Any ideas? Everything I've looked at is either not supported well or requires a lot of effort to get running. I'd like something that is simple to get started with.
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