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Optical Convolutional Neural Networks with Optimized Phase Masks for Image Classification

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Abstract

Convolutional neural networks excel in many computer vision applications but exert high computational demands. We propose a zero-power optical convolutional layer that can be incorporated for increased efficiency and demonstrate its potential in simulations.

© 2018 The Author(s)

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