PROGRAMMABLE NEURON FOR ANALOG NON-VOLATILE MEMORY IN DEEP LEARNING ARTIFICIAL NEURAL NETWORK

摘要

Numerous embodiments for processing the current output of a vector-by-matrix multiplication (VMM) array in an artificial neural network are disclosed. The embodiments comprise a summer circuit and an activation function circuit. The summer circuit and/or the activation function circuit comprise circuit elements that can be adjusted in response to the total possible current received from the VMM to optimize power consumption.