论文标题

无监督的图像分类,通过时间多头光子多层尖峰卷积神经网络

Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network

论文作者

Skontranis, Menelaos, Sarantoglou, George, Deligiannidis, Stavros, Bogris, Adonis, Mesaritakis, Charis

论文摘要

我们介绍了基于二片VCSEL的深光峰值卷积神经网络的结果,以图像分类为目标。培训基于无监督的峰值依赖性可塑性,而神经元时间 - 培训和超快速反应被利用以减少物理神经元计数的降低90%

We present results of a deep photonic spiking convolutional neural network, based on two-section VCSELs, targeting image classification. Training is based on unsupervised spike-timing dependent plasticity, whereas neuron time-multiplexing and ultra-fast response are exploited towards a a reduction of the physical neuron count by 90%

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