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figure-main-flow-of-neural-network-structure-search.tex 3.43 KB
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单韦乔 committed
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\begin{tikzpicture}
\tikzstyle{node}=[draw,minimum height=1.4em,minimum width=2em,rounded corners=1pt,thick]

\begin{scope}[scale=0.36]
\tikzstyle{every node}=[scale=0.36]
updates of figures (secs 13-18)
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xiaotong committed
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\node[draw=ublue,very thick,rounded corners=3pt,drop shadow,fill=white,minimum width=40em,minimum height=25em] (rec3) at (2.25,0){};
\node[draw=ublue,very thick,rounded corners=3pt,drop shadow,fill=white,minimum width=22em,minimum height=25em] (rec2) at (-12.4,0){};
\node[draw=ublue,very thick,rounded corners=3pt,drop shadow,fill=white,minimum width=24em,minimum height=25em] (rec1) at (-24,0){};
15.4图片
af91ac3c
 
单韦乔 committed
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%left
\node[text=ublue] (label1) at (-26.4,4){\Huge\bfnew{结构空间}};
\node[align=left] at (-24,-0.5){\Huge\bfnew{1.前馈神经网络} \\ [4ex] \Huge\bfnew{2.卷积神经网络} \\ [4ex] \Huge\bfnew{3.循环神经网络} \\  [4ex] \Huge\bfnew{4. Transformer网络} \\ [4ex] \Huge\bfnew{...}};

\draw[ublue,very thick,-latex] (rec1.0) -- node[align=center,above,text=violet]{\huge{设计} \\ \huge{搜索} \\ \huge{空间}}(rec2.180);

%mid
\node[text=ublue] (label2) at (-14.4,4){\Huge\bfnew{搜索空间}};
\node[align=left] at (-12.4,-0.5){\Huge\bfnew{循环神经网络} \\ [4ex] \Huge\bfnew{1.普通RNN网络} \\ [4ex] \Huge\bfnew{2. LSTM网络} \\  [4ex] \Huge\bfnew{3. GRU网络} \\ [4ex] \Huge\bfnew{...}};

\draw[ublue,very thick,-latex] (rec2.0) -- node[align=center,above,text=violet]{\huge{选择} \\ \huge{搜索} \\ \huge{策略}}(rec3.180);

\draw[ublue,very thick,-latex,out=-150,in=-30] (rec3.-90) to node[above,text=violet,yshift=1em]{\huge{迭代结构搜索的过程}}(rec2.-90);

\draw[ublue,very thick,-latex,out=60,in=130] ([xshift=-8em]rec3.90) to node[above,text=violet]{\huge{性能评估}}([xshift=8em]rec3.90);
%right
\node[node] (n1) at (0,0){};
\node[node] (n2) at (1.5,0){};
\node[node] (n3) at (3,0){};
\node[node] (n4) at (4.5,0){};
\node[node] (n5) at (1.5,-1.3){};
\node[node] (n6) at (3,-1.3){};
\node[node] (n7) at (2.25,-2.4){};
\node[node] (n8) at (3,1.3){};

\draw[->,thick] (n1.0) -- (n2.180);
\draw[->,thick] (n2.0) -- (n3.180);
\draw[->,thick] (n3.0) -- (n4.180);
\draw[->,thick,out=60,in=180] (n1.90) to (n8.180);
\draw[->,thick,out=-10,in=90] (n8.0) to (n4.90);
\draw[->,thick,out=90,in=-90] (n5.90) to (n3.-90);
\draw[->,thick,out=90,in=-90] (n6.90) to (n4.-90);
\draw[->,thick,out=90,in=-90] (n7.90) to (n5.-90);
\draw[->,thick,out=90,in=-90] (n7.90) to (n6.-90);
\node[font=\huge] (ht) at (-0.2,2.2){$\mathbi h_t$};

\node[draw,font=\huge,inner sep=0pt,minimum width=4em,minimum height=4em,very thick,rounded corners=2pt] (ht-1) at (-3,0) {$\mathbi h_{t-1}$};
\node[draw,font=\huge,inner sep=0pt,minimum width=4em,minimum height=4em,very thick,rounded corners=2pt] (ht+1) at (7.5,0) {$\mathbi h_{t+1}$};

\node[font=\huge] (xt) at (2.25,-4.2){$x_t$};
\node[font=\Huge]  at (9,0){$\cdots$};
\node[font=\Huge]  at (-4.5,0){$\cdots$};

\node[text=ublue] (label3) at (-2,4){\Huge\bfnew{找到的模型结构}};

\node[draw,rounded corners=6pt,very thick,minimum width=16em,minimum height=15em] (box1) at (2.25,0){};

\draw[->,very thick] (ht-1.0) -- (box1.180);
\draw[->,very thick] (box1.0) -- (ht+1.180);
\draw[->,very thick] (ht-1.90) -- ([yshift=2em]ht-1.90);
\draw[->,very thick] (ht+1.90) -- ([yshift=2em]ht+1.90);
\draw[->,very thick] (box1.90) -- ([yshift=2em]box1.90);
\draw[->,very thick] ([yshift=-2em]ht-1.-90) -- (ht-1.-90);
\draw[->,very thick] ([yshift=-2em]ht+1.-90) -- (ht+1.-90);
\draw[->,very thick] ([yshift=-2em]box1.-90) -- (box1.-90);
\end{scope}
\end{tikzpicture}