Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training

Simon Wiedemann, Temesgen Mehari, Kevin Kepp +1

Deep Neural Networks are successful but highly computationally expensive learning systems. One of the main sources of time and energy drains is the well known backpropagation (back…