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NEURAL NETWORK CIRCUIT DEVICE, NEURAL NETWORK, NEURAL NETWORK PROCESSING METHOD AND NEURAL NETWORK EXECUTING PROGRAM

机译:神经网络电路装置,神经网络,神经网络处理方法及神经网络执行程序

摘要

PROBLEM TO BE SOLVED: To provide a neural network circuit device, a neural network, a neural network processing method and a neural network executing program that do not need a batch normalizing circuit.SOLUTION: A binarizing neural network circuit 100 includes: an input unit 101 which accepts input of an input node for inputting input values x1 to xn (xi) (binary value) and weights w1 to wn (wi); an XNOR gate circuit 102 which receives the input values x1 to xn and the weights w1 to wn, and which takes an XNOR logic; a multi-bit bias W' input unit 110 which accepts input of a multi-bit bias W'; a summing circuit 103 that acquires a sum of each XNOR logic value and the multi-bit bias W'; and an activating circuit 120 that outputs only a sign bit to a signal Y that has the sum.SELECTED DRAWING: Figure 9
机译:解决的问题:提供不需要批量归一化电路的神经网络电路装置,神经网络,神经网络处理方法和神经网络执行程序。解决方案:二值化神经网络电路100包括:输入单元101,接受用于输入输入值x1至xn(xi)(二进制值)和权重w1至wn(wi)的输入节点的输入; XNOR门电路102接收输入值x1至xn和权重w1至wn,并采用XNOR逻辑。多位偏置W'输入部110接受多位偏置W'的输入。求和电路103,其获取每个XNOR逻辑值和多位偏置W'的和。激励电路120仅将符号位输出到具有该和的信号Y。

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