Perceptron Based Branch prediction with TensorFlow

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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.

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