Your question is Fitting Networks Into Limited Memory. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How would you optimize a deep neural network to fit within a strictly limited memory footprint for edge inference like Syntiant?