Data page classification in holographic memory using binary neural network

T. Shimobaba, Yota Yamamoto, I. Hoshi, T. Kakue, T. Ito
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Abstract

This study investigates the performance of a binary neural network, which is a lightweight neural network, for classification problems in holographic applications. We performed data classification in holographic memory using XNOR-Net as one of the binary neural networks. We compared the performance of the binary neural network with convolutional neural networks.
基于二元神经网络的全息存储器数据页分类
本文研究了一种轻量级神经网络——二元神经网络在全息应用分类问题中的性能。我们使用XNOR-Net作为二值神经网络之一在全息存储器中进行数据分类。我们比较了二元神经网络和卷积神经网络的性能。
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