Alibaba Group Holding Limited
ARTIFICIAL NEURAL NETWORK WITH SPARSE WEIGHTS

Abstract:

The accuracy of multiple stages within an artificial neural network is substantially improved while at the same time utilizing approximately the same number of floating-point operations per second (FLOPS) as prior art neural network stages by filtering the input with large sparse weight matrices and large sparse weight arrays.