PIPELINING TO IMPROVE THE INFERENCE ACCURACY OF NEURONAL NETWORKS

摘要

Improved techniques and circuits for artificial neural networks are presented here. These artificial neural networks consist of artificial neurons, which in the implementations herein comprise a memory cell array with non-volatile memory elements. Neural connections among the artificial neurons are formed by a connection circuit coupled to input control lines and output control lines of the memory array to divide the memory array into a plurality of layers of the artificial neural network. A control circuit is set up to transmit a plurality of iterations of an input value on input control lines of a first layer of the artificial neural network for inference operations through at least one or more additional layers. The control circuit is also configured to apply an averaging function over output values that are successively presented on output control lines of a last layer of the artificial neural network from each iteration of the input value.