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卷积神经网络的复杂度分析 | 自由笔记

https://livelihao.github.io/2023/05/11/%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E7%9A%84%E5%A4%8D%E6%9D%82%E5%BA%A6%E5%88%86%E6%9E%90/

前言卷积神经网络(Convolutional Neural Network, CNN)是一种深度学习模型,其在计算机视觉和自然语言处理等领域有着广泛的应用. 其发展历程可以追溯到20世纪80年代,最初被用于图像处理领域. 但是,由于当时计算机的性能较弱,卷积神经网络的应用一直受到限制. 直到2012年,Alex Krizhevsky 等人在 ImageNet 比赛中使用深度卷积神经网络 AlexN

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