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Conferences > OFC > 2023 > M1J > M1J.6

Photonic Max-Pooling for Deep Neural Networks Using a Programmable Photonic Platform

Farshid Ashtiani, Mehmet Berkay On, David Sanchez-Jacome, Daniel Perez-Lopez, S. J. Ben Yoo, and Andrea Blanco-Redondo

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Abstract

We propose a photonic max-pooling architecture for photonic neural networks which is compatible with integrated photonic platforms. As a proof of concept, we have experimentally demonstrated the max-pooling function on a programmable photonic platform consisting of a hexagonal mesh of Mach-Zehnder interferometers.

© 2023 The Author(s)

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