SqueezeNet网络结构介绍

% 创建层次图
% 创建层次图变量以包含网络层。
lgraph = layerGraph();
% 
% 添加层分支
% 将网络分支添加到层次图中。每个分支均为一个线性层组。
tempLayers = [
    imageInputLayer([227 227 3],"Name","data")
    convolution2dLayer([3 3],64,"Name","conv1","Stride",[2 2])
    reluLayer("Name","relu_conv1")
    maxPooling2dLayer([3 3],"Name","pool1","Stride",[2 2])
    convolution2dLayer([1 1],16,"Name","fire2-squeeze1x1")
    reluLayer("Name","fire2-relu_squeeze1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([1 1],64,"Name","fire2-expand1x1")
    reluLayer("Name","fire2-relu_expand1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([3 3],64,"Name","fire2-expand3x3","Padding",[1 1 1 1])
    reluLayer("Name","fire2-relu_expand3x3")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    depthConcatenationLayer(2,"Name","fire2-concat")
    convolution2dLayer([1 1],16,"Name","fire3-squeeze1x1")
    reluLayer("Name","fire3-relu_squeeze1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([1 1],64,"Name","fire3-expand1x1")
    reluLayer("Name","fire3-relu_expand1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([3 3],64,"Name","fire3-expand3x3","Padding",[1 1 1 1])
    reluLayer("Name","fire3-relu_expand3x3")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    depthConcatenationLayer(2,"Name","fire3-concat")
    maxPooling2dLayer([3 3],"Name","pool3","Padding",[0 1 0 1],"Stride",[2 2])
    convolution2dLayer([1 1],32,"Name","fire4-squeeze1x1")
    reluLayer("Name","fire4-relu_squeeze1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([3 3],128,"Name","fire4-expand3x3","Padding",[1 1 1 1])
    reluLayer("Name","fire4-relu_expand3x3")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([1 1],128,"Name","fire4-expand1x1")
    reluLayer("Name","fire4-relu_expand1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    depthConcatenationLayer(2,"Name","fire4-concat")
    convolution2dLayer([1 1],32,"Name","fire5-squeeze1x1")
    reluLayer("Name","fire5-relu_squeeze1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([3 3],128,"Name","fire5-expand3x3","Padding",[1 1 1 1])
    reluLayer("Name","fire5-relu_expand3x3")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([1 1],128,"Name","fire5-expand1x1")
    reluLayer("Name","fire5-relu_expand1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    depthConcatenationLayer(2,"Name","fire5-concat")
    maxPooling2dLayer([3 3],"Name","pool5","Padding",[0 1 0 1],"Stride",[2 2])
    convolution2dLayer([1 1],48,"Name","fire6-squeeze1x1")
    reluLayer("Name","fire6-relu_squeeze1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([1 1],192,"Name","fire6-expand1x1")
    reluLayer("Name","fire6-relu_expand1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([3 3],192,"Name","fire6-expand3x3","Padding",[1 1 1 1])
    reluLayer("Name","fire6-relu_expand3x3")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    depthConcatenationLayer(2,"Name","fire6-concat")
    convolution2dLayer([1 1],48,"Name","fire7-squeeze1x1")
    reluLayer("Name","fire7-relu_squeeze1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([3 3],192,"Name","fire7-expand3x3","Padding",[1 1 1 1])
    reluLayer("Name","fire7-relu_expand3x3")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([1 1],192,"Name","fire7-expand1x1")
    reluLayer("Name","fire7-relu_expand1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    depthConcatenationLayer(2,"Name","fire7-concat")
    convolution2dLayer([1 1],64,"Name","fire8-squeeze1x1")
    reluLayer("Name","fire8-relu_squeeze1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([3 3],256,"Name","fire8-expand3x3","Padding",[1 1 1 1])
    reluLayer("Name","fire8-relu_expand3x3")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([1 1],256,"Name","fire8-expand1x1")
    reluLayer("Name","fire8-relu_expand1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    depthConcatenationLayer(2,"Name","fire8-concat")
    convolution2dLayer([1 1],64,"Name","fire9-squeeze1x1")
    reluLayer("Name","fire9-relu_squeeze1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([3 3],256,"Name","fire9-expand3x3","Padding",[1 1 1 1])
    reluLayer("Name","fire9-relu_expand3x3")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    convolution2dLayer([1 1],256,"Name","fire9-expand1x1")
    reluLayer("Name","fire9-relu_expand1x1")];
lgraph = addLayers(lgraph,tempLayers);
tempLayers = [
    depthConcatenationLayer(2,"Name","fire9-concat")
    dropoutLayer(0.5,"Name","drop9")
    convolution2dLayer([1 1],1000,"Name","conv10")
    reluLayer("Name","relu_conv10")
    globalAveragePooling2dLayer("Name","pool10")
    softmaxLayer("Name","prob")
    classificationLayer("Name","ClassificationLayer_predictions")];
lgraph = addLayers(lgraph,tempLayers);
% 清理辅助函数变量
clear tempLayers;
% 连接层分支
% 连接网络的所有分支以创建网络图。
lgraph = connectLayers(lgraph,"fire2-relu_squeeze1x1","fire2-expand1x1");
lgraph = connectLayers(lgraph,"fire2-relu_squeeze1x1","fire2-expand3x3");
lgraph = connectLayers(lgraph,"fire2-relu_expand1x1","fire2-concat/in1");
lgraph = connectLayers(lgraph,"fire2-relu_expand3x3","fire2-concat/in2");
lgraph = connectLayers(lgraph,"fire3-relu_squeeze1x1","fire3-expand1x1");
lgraph = connectLayers(lgraph,"fire3-relu_squeeze1x1","fire3-expand3x3");
lgraph = connectLayers(lgraph,"fire3-relu_expand3x3","fire3-concat/in2");
lgraph = connectLayers(lgraph,"fire3-relu_expand1x1","fire3-concat/in1");
lgraph = connectLayers(lgraph,"fire4-relu_squeeze1x1","fire4-expand3x3");
lgraph = connectLayers(lgraph,"fire4-relu_squeeze1x1","fire4-expand1x1");
lgraph = connectLayers(lgraph,"fire4-relu_expand3x3","fire4-concat/in2");
lgraph = connectLayers(lgraph,"fire4-relu_expand1x1","fire4-concat/in1");
lgraph = connectLayers(lgraph,"fire5-relu_squeeze1x1","fire5-expand3x3");
lgraph = connectLayers(lgraph,"fire5-relu_squeeze1x1","fire5-expand1x1");
lgraph = connectLayers(lgraph,"fire5-relu_expand1x1","fire5-concat/in1");
lgraph = connectLayers(lgraph,"fire5-relu_expand3x3","fire5-concat/in2");
lgraph = connectLayers(lgraph,"fire6-relu_squeeze1x1","fire6-expand1x1");
lgraph = connectLayers(lgraph,"fire6-relu_squeeze1x1","fire6-expand3x3");
lgraph = connectLayers(lgraph,"fire6-relu_expand3x3","fire6-concat/in2");
lgraph = connectLayers(lgraph,"fire6-relu_expand1x1","fire6-concat/in1");
lgraph = connectLayers(lgraph,"fire7-relu_squeeze1x1","fire7-expand3x3");
lgraph = connectLayers(lgraph,"fire7-relu_squeeze1x1","fire7-expand1x1");
lgraph = connectLayers(lgraph,"fire7-relu_expand3x3","fire7-concat/in2");
lgraph = connectLayers(lgraph,"fire7-relu_expand1x1","fire7-concat/in1");
lgraph = connectLayers(lgraph,"fire8-relu_squeeze1x1","fire8-expand3x3");
lgraph = connectLayers(lgraph,"fire8-relu_squeeze1x1","fire8-expand1x1");
lgraph = connectLayers(lgraph,"fire8-relu_expand3x3","fire8-concat/in2");
lgraph = connectLayers(lgraph,"fire8-relu_expand1x1","fire8-concat/in1");
lgraph = connectLayers(lgraph,"fire9-relu_squeeze1x1","fire9-expand3x3");
lgraph = connectLayers(lgraph,"fire9-relu_squeeze1x1","fire9-expand1x1");
lgraph = connectLayers(lgraph,"fire9-relu_expand1x1","fire9-concat/in1");
lgraph = connectLayers(lgraph,"fire9-relu_expand3x3","fire9-concat/in2");