After reading “On Intelligence”, the BAMI and a few HTM School videos, I would like to get some more feelings about how an encoder covert data to sparsed binary vectors, how SP learns SDRs from those vectors, and how TP predicts from the SDRs with coding.
I noticed that there’s a workshop repo in Github, HTM Studio, and a NuPIC notebook, but I am not sure where to start from. Can you point a direction for a smoother learning path? Is there another good easy case study that I was missing?
@rhyolight, who among other things maintains this forum, is also developing a series of interactive webpages to help people like you. It is work in progress, but the encoder part is quite advanced, if not finished.