An experimental comparative study of backpropagation and alternatives for training binary neural networks for image classification

Ben Crulis, Barthelemy Serres, Cyril de Runz +1

Current artificial neural networks are trained with parameters encoded as floating point numbers that occupy lots of memory space at inference time. Due to the increase in the size…