학술논문
Programmable Tanh- and ELU-Based Photonic Neurons in Optics-Informed Neural Networks
Document Type
Periodical
Author
Source
Journal of Lightwave Technology J. Lightwave Technol. Lightwave Technology, Journal of. 42(10):3652-3660 May, 2024
Subject
Language
ISSN
0733-8724
1558-2213
1558-2213
Abstract
We demonstrate an integrated opto-electronic (ΟΕ) device that can be programmed to provide a set of nonlinear activation functions (AFs) and present its operation within programmable tanh- and ELU-based photonic neurons at line rates up to 10 GBd. The OE activation module provides a set of well-known activation functions that are typically used in DL training models, including the tanh-, ELU- and inverted ELU-like functions. Its performance is experimentally evaluated when incorporated in a 4-input wavelength division multiplexed (WDM) photonic neuron and operating with non-deterministic data patterns, providing “noisy” tanh, ELU and inverted ELU AFs with an error-distribution that has in all cases a standard deviation of