I’ve gotten caught up on HTM school; and I’ve begun working with the HTM framework - so far I’ve just been using it to predict scalars for the fun of it. MUCH faster to code and train than traditional deep learning systems. My next step is twofold: Realtime prediction, and realtime learning. What I mean by this is, suppose I have a rudimentary interactive shell. I feet my network a few numbers, or a string, get it parsed, and sent through the network, and I’m given a prediction value, all interactively. Second, and at the same time, I’d want to engage the SP and TM to learn as I enter in and feed it more data. Let’s just assume it’s a scalar or two, for now, for simplicity. How could I accomplish this?
Furthermore, where can I find some tips or documentation on stacking layers? By that I mean I want to create a… pipeline, I guess, in the form:
SP1 - > TM1 -> SP2 -> TM2 -> (and so on)
I’m not really sure whether or not I’d need spatial poolers between each layer or not, or if there’s anything else I’d need to set up in my network or model YAML file in order to accomplish this.
Thanks a ton for helping me! I’m new to HTM systems but quite excited to learn and work with them!