NVIDIA Corporation
REPRESENTING A NEURAL NETWORK UTILIZING PATHS WITHIN THE NETWORK TO IMPROVE A PERFORMANCE OF THE NEURAL NETWORK

Abstract:

Artificial neural networks (ANNs) are computing systems that imitate a human brain by learning to perform tasks by considering examples. By representing an artificial neural network utilizing individual paths each connecting an input of the ANN to an output of the ANN, a complexity of the ANN may be reduced, and the ANN may be trained and implemented in a much faster manner when compared to an implementation using fully connected ANN graphs.