Fabrizio Pittorino

Memory-Efficient Integer-Only Training of Deep Neural Networks

Training neural networks in reduced precision can yield significant efficiency gains, yet all existing methods that scale to standard computer vision benchmarks retain floating-point in at least one stage, typically the weight update or optimizer state. We present a training algorithm that scales to modern deep neural...