SOA-based photonic integrated deep neural networks for image classification

B. Shi; N. Calabretta; R. Stabile

doi:10.1364/CLEO_SI.2019.SF1N.5

SOA-based photonic integrated deep neural networks for image classification

B. Shi, N. Calabretta, R. Stabile

Electro-Optical Communication

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

7 Downloads (Pure)

Abstract

We successfully demonstrate classification of three classes of Iris flowers by implementing a trained neural network on an SOA-based InP cross-connect chip. Classification accuracy of 91.6% is achieved after a fine optimization procedure.

Original language	English
Title of host publication	2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings
Subtitle of host publication	Science and Innovations, CLEO_SI 2019
Place of Publication	Washington
Publisher	Optical Society of America (OSA)
Number of pages	2
ISBN (Electronic)	978-1-943580-57-6
DOIs	https://doi.org/10.1364/CLEO_SI.2019.SF1N.5
Publication status	Published - May 2019
Event	2019 Conference on Lasers and Electro-Optics, CLEO 2019 - San Jose, United States Duration: 5 May 2019 → 10 May 2019

Conference

Conference	2019 Conference on Lasers and Electro-Optics, CLEO 2019
Country/Territory	United States
City	San Jose
Period	5/05/19 → 10/05/19

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10.1364/CLEO_SI.2019.SF1N.5

Cite this

@inproceedings{173cc7c22e0e43d0b19e1360db45e33f,

title = "SOA-based photonic integrated deep neural networks for image classification",

abstract = "We successfully demonstrate classification of three classes of Iris flowers by implementing a trained neural network on an SOA-based InP cross-connect chip. Classification accuracy of 91.6% is achieved after a fine optimization procedure.",

author = "B. Shi and N. Calabretta and R. Stabile",

year = "2019",

month = may,

doi = "10.1364/CLEO_SI.2019.SF1N.5",

language = "English",

booktitle = "2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings",

publisher = "Optical Society of America (OSA)",

address = "United States",

note = "2019 Conference on Lasers and Electro-Optics, CLEO 2019 ; Conference date: 05-05-2019 Through 10-05-2019",

}

Shi, B , Calabretta, N & Stabile, R 2019, SOA-based photonic integrated deep neural networks for image classification. in 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings: Science and Innovations, CLEO_SI 2019., 8750138, Optical Society of America (OSA), Washington, 2019 Conference on Lasers and Electro-Optics, CLEO 2019, San Jose, California, United States, 5/05/19. https://doi.org/10.1364/CLEO_SI.2019.SF1N.5

SOA-based photonic integrated deep neural networks for image classification. / Shi, B.; Calabretta, N.; Stabile, R.
2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings: Science and Innovations, CLEO_SI 2019. Washington: Optical Society of America (OSA), 2019. 8750138.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - SOA-based photonic integrated deep neural networks for image classification

AU - Shi, B.

AU - Calabretta, N.

AU - Stabile, R.

PY - 2019/5

Y1 - 2019/5

N2 - We successfully demonstrate classification of three classes of Iris flowers by implementing a trained neural network on an SOA-based InP cross-connect chip. Classification accuracy of 91.6% is achieved after a fine optimization procedure.

AB - We successfully demonstrate classification of three classes of Iris flowers by implementing a trained neural network on an SOA-based InP cross-connect chip. Classification accuracy of 91.6% is achieved after a fine optimization procedure.

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U2 - 10.1364/CLEO_SI.2019.SF1N.5

DO - 10.1364/CLEO_SI.2019.SF1N.5

M3 - Conference contribution

BT - 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings

PB - Optical Society of America (OSA)

CY - Washington

T2 - 2019 Conference on Lasers and Electro-Optics, CLEO 2019

Y2 - 5 May 2019 through 10 May 2019

ER -

SOA-based photonic integrated deep neural networks for image classification

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