Error analysis of a 3-Layer SOA-based photonic deep neural network for image classification

Research output: Contribution to conferencePaperAcademic

Abstract

We demonstrate Iris flower classification with a trained 3-layer photonic deep neural network, which is implemented by a monolithically integrated SOA-based InP cross-connect chip, achieving a final accuracy of 85.8%. An in-depth analysis of the error evolution in the system suggests that the E/O conversions from layer to layer contribute to the majority of the error.
Original languageEnglish
Publication statusPublished - 2019
Event24th annual Symposium of the IEEE Photonics Benelux Chapter - VU Main Building, Amsterdam, Netherlands
Duration: 21 Nov 201922 Nov 2019
https://www.aanmelder.nl/ieee-benelux-2019

Conference

Conference24th annual Symposium of the IEEE Photonics Benelux Chapter
CountryNetherlands
CityAmsterdam
Period21/11/1922/11/19
Internet address

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  • Cite this

    Shi, B., Calabretta, N., & Stabile, R. (2019). Error analysis of a 3-Layer SOA-based photonic deep neural network for image classification. Paper presented at 24th annual Symposium of the IEEE Photonics Benelux Chapter, Amsterdam, Netherlands.