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ELECTRONIC CIRCUIT FOR IMPLEMENTING GENERATIVE ADVERSARIAL NETWORK USING SPIKE NEURAL NETWORK

机译:利用尖峰神经网络实现生成性对抗网络的电子电路

摘要

Provided is an electronic circuit for implementing a generative adversarial neural network. The electronic circuit includes a spike converter, a spike image generator, a spike image converter, and an image discriminator. The spike converter generates a first signal including spike signals. The number of the spike signals is determined based on first data associated with second data within a reference time interval. The spike image generator generates a second signal including spike signals being selected based on a weight among the spike signals of the first signal. The image converter converts the spike signals of the second signal to generate third data being represented in an analog domain. The image discriminator provides the spike image generator with result data being associated with a difference between a value of the third data and a value of the second data. The image generator determines the weight based on the result data.
机译:提供了一种用于实现生成对抗神经网络的电子电路。该电子电路包括尖峰转换器,尖峰图像生成器,尖峰图像转换器和图像鉴别器。尖峰转换器产生包括尖峰信号的第一信号。基于在参考时间间隔内与第二数据相关联的第一数据来确定尖峰信号的数量。尖峰图像生成器生成第二信号,该第二信号包括基于第一信号的尖峰信号之中的权重选择的尖峰信号。图像转换器转换第二信号的尖峰信号以生成在模拟域中表示的第三数据。图像鉴别器向尖峰图像生成器提供结果数据,该结果数据与第三数据的值和第二数据的值之间的差相关联。图像生成器根据结果数据确定权重。

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