首页> 外国专利> SYSTEM FOR CONVERTING NEURON CURRENT INTO NEURON CURRENT-BASED TIME PULSES IN AN ANALOG NEURAL MEMORY IN A DEEP LEARNING ARTIFICIAL NEURAL NETWORK

SYSTEM FOR CONVERTING NEURON CURRENT INTO NEURON CURRENT-BASED TIME PULSES IN AN ANALOG NEURAL MEMORY IN A DEEP LEARNING ARTIFICIAL NEURAL NETWORK

机译:在深度学习人工神经网络中将神经元电流转换为模拟神经存储器中基于神经元时间的时间脉冲的系统

摘要

Numerous embodiments are disclosed for converting neuron current output by a vector-by-matrix multiplication (VMM) array into neuron current-based time pulses and providing such pulses as an input to another VMM array within an artificial neural network. Numerous embodiments are disclosed for converting the neuron current-based time pulses into analog current or voltage values if an analog input is needed for the VMM array.
机译:公开了许多实施例,用于将逐矩阵乘法(VMM)阵列输出的神经元电流转换为基于神经元电流的时间脉冲,并将此类脉冲作为输入提供给人工神经网络内的另一个VMM阵列。公开了许多实施例,如果VMM阵列需要模拟输入,则用于将基于神经元电流的时间脉冲转换为模拟电流或电压值。

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