I am working on a project to learn more in-depth about dynamic branch prediction. I have a bare-bones implementation of the MARIE architecture written in Python and I was wondering if I could use sci-kit and tensorflow to train perceptrons for branch prediction? I am not sure if this can be done or if I should use a different approach?
Thanks for any input.