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头疼！卷积神经网络是什么？CNN结构、训练与优化一文全解

本文全面探讨了卷积神经网络CNN，深入分析了背景和重要性、定义与层次介绍、训练与优化，详细分析了其卷积层、激活函数、池化层、归一化层，最后列出其训练与优化的多项关键技术：训练集准备与增强、损失函数、优化器、学习率调整、正则化技巧与模型评估调优。作者 TechLead，拥有10+年互联网服务架构、AI...

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卷积神经网络(CNN)模型结构

1. CNN的基本结构　　　　首先我们来看看CNN的基本结构。一个常见的CNN例子如下图：　　　　图中是一个图形识别的CNN模型。可以看出最左边的船的图像就是我们的输入层，计算机理解为输入若干个矩阵，这点和DNN基本相同。　　　　接着是卷积层（Convolution Layer）,这个是CNN...

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