Convert submodule PlotNeuralNet into a regular folder
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thesis/third_party/PlotNeuralNet/examples/AlexNet/alexnet.tex
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thesis/third_party/PlotNeuralNet/examples/AlexNet/alexnet.tex
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\documentclass[border=8pt, multi, tikz]{standalone}
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\usepackage{import}
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\subimport{../layers/}{init}
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\usetikzlibrary{positioning}
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\usetikzlibrary{3d} %for including external image
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\def\ConvColor{rgb:yellow,5;red,2.5;white,5}
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\def\ConvReluColor{rgb:yellow,5;red,5;white,5}
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\def\PoolColor{rgb:red,1;black,0.3}
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\def\UnpoolColor{rgb:blue,2;green,1;black,0.3}
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\def\FcColor{rgb:blue,2;green,5;white,5}
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\def\FcReluColor{blue,2;green,5;;white,4}
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\def\SoftmaxColor{rgb:magenta,5;black,7}
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\newcommand{\copymidarrow}{\tikz \draw[-Stealth,line width=0.8mm,draw={rgb:blue,4;red,1;green,1;black,3}] (-0.3,0) -- ++(0.3,0);}
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\begin{document}
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\begin{tikzpicture}
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\tikzstyle{connection}=[ultra thick,every node/.style={sloped,allow upside down},draw=\edgecolor,opacity=0.7]
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\tikzstyle{copyconnection}=[ultra thick,every node/.style={sloped,allow upside down},draw={rgb:blue,4;red,1;green,1;black,3},opacity=0.7]
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\pic[shift={(0,0,0)}] at (0,0,0)
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{Box={
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name=conv0,
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caption= ,
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xlabel={{3, }},
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zlabel=224,
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fill=\ConvColor,
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height=44.8,
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width=3,
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depth=44.8
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}
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};
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\pic[shift={(1,0,0)}] at (conv0-east)
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{Box={
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name=conv1,
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caption= ,
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xlabel={{96, }},
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zlabel=55,
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fill=\ConvColor,
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height=11.0,
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width=4.8,
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depth=11.0
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}
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};
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\draw [connection] (conv0-east) -- node {\midarrow} (conv1-west);
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\pic[shift={ (0,0,0) }] at (conv1-east)
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{Box={
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name=pool1,
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caption= ,
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fill=\PoolColor,
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opacity=0.5,
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height=5.4,
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width=1,
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depth=5.4
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}
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};
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\pic[shift={(1,0,0)}] at (pool1-east)
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{Box={
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name=conv2,
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caption= ,
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xlabel={{256, }},
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zlabel=27,
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fill=\ConvColor,
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height=5.4,
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width=12.8,
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depth=5.4
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}
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};
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\draw [connection] (pool1-east) -- node {\midarrow} (conv2-west);
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\pic[shift={ (0,0,0) }] at (conv2-east)
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{Box={
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name=pool2,
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caption= ,
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fill=\PoolColor,
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opacity=0.5,
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height=2.6,
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width=1,
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depth=2.6
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}
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};
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\pic[shift={(1,0,0)}] at (pool2-east)
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{Box={
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name=conv3,
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caption= ,
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xlabel={{384, }},
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zlabel=13,
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fill=\ConvColor,
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height=2.6,
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width=19.2,
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depth=2.6
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}
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};
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\draw [connection] (pool2-east) -- node {\midarrow} (conv3-west);
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\pic[shift={(1,0,0)}] at (conv3-east)
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{Box={
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name=conv4,
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caption= ,
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xlabel={{384, }},
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zlabel=13,
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fill=\ConvColor,
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height=2.6,
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width=19.2,
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depth=2.6
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}
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};
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\draw [connection] (conv3-east) -- node {\midarrow} (conv4-west);
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\pic[shift={(1,0,0)}] at (conv4-east)
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{Box={
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name=conv5,
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caption= ,
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xlabel={{256, }},
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zlabel=13,
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fill=\ConvColor,
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height=2.6,
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width=12.8,
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depth=2.6
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}
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};
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\draw [connection] (conv4-east) -- node {\midarrow} (conv5-west);
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\pic[shift={ (0,0,0) }] at (conv5-east)
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{Box={
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name=pool3,
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caption= ,
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fill=\PoolColor,
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opacity=0.5,
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height=1.2,
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width=1,
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depth=1.2
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}
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};
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\pic[shift={(1,0,0)}] at (pool3-east)
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{Box={
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name=Fc1,
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caption= ,
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xlabel={{1, }},
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zlabel=4096,
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fill=\FcColor,
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height=1,
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width=1,
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depth=40.96
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}
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};
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\draw [connection] (pool3-east) -- node {\midarrow} (Fc1-west);
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\pic[shift={(2,0,0)}] at (Fc1-east)
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{Box={
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name=Fc2,
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caption= ,
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xlabel={{1, }},
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zlabel=4096,
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fill=\FcColor,
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height=1,
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width=1,
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depth=40.96
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}
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};
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\draw [connection] (Fc1-east) -- node {\midarrow} (Fc2-west);
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\pic[shift={(3,0,0)}] at (Fc2-east)
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{Box={
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name=soft1,
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caption=SOFT,
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xlabel={{" ","dummy"}},
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zlabel=1000,
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fill=\SoftmaxColor,
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opacity=0.8,
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height=3,
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width=1.5,
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depth=25
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}
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};
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\draw [connection] (Fc2-east) -- node {\midarrow} (soft1-west);
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\end{tikzpicture}
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\end{document}
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thesis/third_party/PlotNeuralNet/examples/AlexNet/alexnet_data.png
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thesis/third_party/PlotNeuralNet/examples/AlexNet/alexnet_data.png
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