文章 2021-09-10 来自:开发者社区

【学习记录】《DeepLearning.ai》第十课:卷积神经网络(Convolutional Neural Networks)

第十课:卷积神经网络(Convolutional Neural Networks)1.1 计算机视觉(Computer vision)通常如果处理大图用传统的神经网络需要特别大的输入,因此需要大量内存。对于计算机视觉应用来说,要处理大图片,就需要进行卷积计算。1.2 边缘检测示例垂直边沿检测器:上图是一个垂直边沿检测器,注意它的计算过程。卷积过程,$6*6$​​的图形经过一个过滤器(或者叫卷积核....

【学习记录】《DeepLearning.ai》第十课:卷积神经网络(Convolutional Neural Networks)
文章 2021-09-04 来自:开发者社区

【学习记录】《DeepLearning.ai》第三课:浅层神经网络(Shallow neural networks)

第三课:浅层神经网络(Shallow neural networks)3.1 神经网络概述PASS3.2 神经网络的表示如上图,从左到右依次为输入层、隐藏层、只有一个节点的层为输出层,负责输出预测值。一般称上图网络为两层神经网络,一般不把输入层看做一个标准层,因此该网络有一个隐藏层和输出层。在隐藏层有两个参数$W$​和$b$​,通常表示为$W^{[1]},b^{[1]}$​,$W$​为$4*3$....

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