微云全息使用3D-CNN对全息图进行分类,有效提取三维特征

CCTIME飞象网
May 08

由于全息图数据的特殊性,传统的二维图像分类方法无法直接应用于全息图数据。全息图数据的特殊性和复杂性给分类任务带来了一定的挑战。微云全息(NASDAQ: HOLO)通过优化3D CNN的结构和参数设置,以及引入其他的数据增强技术来提高分类准确性。3D-CNN(3D Convolutional Neural Network)是一种基于卷积神经网络的三维数据处理方法,它能够有效地处理三维数据,如全息图。...

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