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卷积神经网络
计算机科学
高保真
深度学习
全息术
人工智能
算法
光学
电气工程
物理
工程类
作者
M. Hossein Eybposh,Nicholas W. Caira,Praneeth Chakravarthula,Mathew Atisa,Nicolas C. Pégard
标识
DOI:10.1364/brain.2020.btu2c.2
摘要
We introduce a computer-generated holography algorithm based on deep learning with unsupervised training. Our method generates high fidelity holograms in a few milliseconds and outperforms alternate methods that require many iterations and longer computation.
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