Elements of Hybrid Opto-superconducting Convolutional Neural Networks

Авторы: Schegolev A.E., Klenov N.V., Tereshonok M.V., Adjemov S.S.
Сборник: Proceedings of the 8th International Conference on Photonics, Optics and Laser Technology
Год издания: 2020
Место издания: SCITEPRESS – Science and Technology Publications, Lda
Первая страница: 135
Последняя страница: 139
DOI: 10.5220/0009100101350139
Аннотация: In this paper, the authors proposed the concepts and principals of operating basic nonlinear elements for hybrid opto–superconducting convolutional neural networks. Optical elements in computing systems are usually designed to produce only linear mathematical operations. This is insufficient for complete neural network realization on-chip, where non-linear operations like activation function calculations in a neuron or transfer function of rectifier linear unit are needed. We have shown the opportunity of realization of an elemental base for the hybrid neural network consists of optical and superconducting parts.ISBN: 978-989-758-401-5
Добавил в систему: Кленов Николай Викторович

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