TableNet uses LUTs to create multiplier-less neural networks for faster inferencing.
problem Reducing the computational complexity and power consumption of neural networks during inference.
method Replacing matrix multiply and add operations with LUTs and additions, resulting in a completely multiplier-less implementation.
result Similar performance can be achieved with a comparable memory footprint as a full precision deep neural network, but without multipliers.