volumes 1.7 One layer of a convolutional network 1.8 A simple convolution network example 1.9 Pooling Coursera-吴恩达-深度学习-第四门课-卷积神经网络 -week1-测验 本文章内容: Coursera吴恩达深度学习课程, 第四课: 卷积神经网络(Convolutional Neural
CNN 卷积神经网络 一.定义 卷积神经网络(ConvolutionalNeural Network,CNN)是一种前馈神经网络,对于大型图像处理有出色表现。[1] 它包括卷积层(convolutionallayer)和池化层(poolinglayer)。由于该网络避免了对图像的复杂前期预处理,可以直接输入原始图像,因而得到了更为广泛的应用。 CNN的基本结构包括两层,其一为特征提...
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3. The Xception architecture We propose a convolutional neural network architecture based entirely on depthwise separable convolution layers. In effect, we make the following hypothesis: that the map- ping of cross-channels correlations and spatial correlations in the feature maps of convolutional ...