Використання FPGA для реалізації штучної нейронної мережі

Abstract

Advances in technology have greatly expanded the logical capabilities of FPGAs and, in turn, made them viable alternatives to large and complex implementations. Therefore, there is a prospect of implementing an artificial neural network on the FPGA. In the field of artificial intelligence and machine learning, an artificial neuron is a computing element that is a mathematical model of a biological neuron that is used as a basic element to build artificial neural networks.