alexnet网络结构matlab代码

以下是AlexNet网络结构的MATLAB代码实现：

layers = [ ...
    imageInputLayer([227 227 3])
    convolution2dLayer(11, 96, "Stride", 4, "Padding", 0)
    reluLayer()
    maxPooling2dLayer(3, "Stride", 2, "Padding", 0)
    crossChannelNormalizationLayer(5)
    convolution2dLayer(5, 256, "Stride", 1, "Padding", 2)
    reluLayer()
    maxPooling2dLayer(3, "Stride", 2, "Padding", 0)
    crossChannelNormalizationLayer(5)
    convolution2dLayer(3, 384, "Stride", 1, "Padding", 1)
    reluLayer()
    convolution2dLayer(3, 384, "Stride", 1, "Padding", 1)
    reluLayer()
    convolution2dLayer(3, 256, "Stride", 1, "Padding", 1)
    reluLayer()
    maxPooling2dLayer(3, "Stride", 2, "Padding", 0)
    fullyConnectedLayer(4096)
    reluLayer()
    dropoutLayer(0.5)
    fullyConnectedLayer(4096)
    reluLayer()
    dropoutLayer(0.5)
    fullyConnectedLayer(1000)
    softmaxLayer()
    classificationLayer() ];

这个代码中包含了AlexNet的所有层，包括卷积层、池化层、归一化层、全连接层、ReLU激活函数层和Dropout层。其中，第一层为输入层，输入图像大小为227x227x3。最后一层为输出层，输出1000种类别的概率。