神经形态工程学
非线性系统
激活函数
MNIST数据库
光子学
水准点(测量)
计算机科学
干涉测量
乙状窦函数
切趾
硅光子学
油藏计算
光学
光学计算
电子工程
人工神经网络
物理
人工智能
循环神经网络
工程类
大地测量学
量子力学
地理
作者
Aashu Jha,Chaoran Huang,Paul R. Prucnal
出处
期刊:Optics Letters
[The Optical Society]
日期:2020-07-29
卷期号:45 (17): 4819-4819
被引量:114
摘要
We experimentally demonstrate all-optical reconfigurable nonlinear activation functions in a cavity-loaded Mach-Zehnder interferometer device on a silicon photonics platform, via the free-carrier dispersion effect. Our device is programmable to generate various nonlinear activation functions, including sigmoid, radial-basis, clamped rectified linear unit, and softplus, with tunable thresholds. We simulate benchmark tasks such as XOR and MNIST handwritten digit classifications with experimentally measured activation functions and obtain accuracies of 100% and 94%, respectively. Our device can serve as nonlinear units in photonic neural networks, while its nonlinear transfer function can be flexibly programmed to optimize the performance of different neuromorphic tasks.
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