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基于卷积神经网络的图像分类算法 被引量:3

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摘要 随着信息时代的到来,信息数据爆炸式增长,图像信息表达生动直接,逐渐成为主流信息传播方式之一。图像数据量也迅猛不断增长。人们需要一种快速高效合理的方法对图像进项处理分析。深度学习是机器学习的一个崭新的领域,卷积神经网络属于机器学习领域研究的范围,是一种高效的识别方法。基于卷积神经网络的图像分类方法成为目前图像分类的主流算法,如何有效利用卷积神经网络来进行图像分类成为国内外计算机视觉领域研究的热点。本文介绍了目前较先进的基于卷积神经网络的分类方法。
作者 张闪青
机构地区 华北电力大学
出处 《计算机产品与流通》 2019年第6期112-112,共1页
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