Update LSTM figure

Section06-Neural-Machine-Translation/section06.tex

@@ -1155,7 +1155,6 @@ NLP问题的隐含结构假设 & 无隐含结构假设，端到端学习 \\
 \end{itemize}
 \end{itemize}
 %%% 图
 %%% 图
 \begin{center}
 \begin{center}
-    \hspace*{-0.9cm}
     \begin{tikzpicture}
     \begin{tikzpicture}
         \setlength{\base}{0.6cm}
         \setlength{\base}{0.6cm}
 
 
@@ -1173,7 +1172,7 @@ NLP问题的隐含结构假设 & 无隐含结构假设，端到端学习 \\
 
 
             \coordinate (aux22) at ([yshift=\base]aux12);
             \coordinate (aux22) at ([yshift=\base]aux12);
             \node[auxnode,label={-45:22}] () at (aux22) {};
             \node[auxnode,label={-45:22}] () at (aux22) {};
-            \coordinate (aux21) at ([xshift=-\base]aux22);
+            \coordinate (aux21) at ([xshift=-2\base]aux22);
             \node[auxnode,label={-45:21}] () at (aux21) {};
             \node[auxnode,label={-45:21}] () at (aux21) {};
             \coordinate (aux23) at ([xshift=\base]aux22);
             \coordinate (aux23) at ([xshift=\base]aux22);
             \node[auxnode,label={-45:23}] () at (aux23) {};
             \node[auxnode,label={-45:23}] () at (aux23) {};
@@ -1187,7 +1186,7 @@ NLP问题的隐含结构假设 & 无隐含结构假设，端到端学习 \\
             \node[auxnode,label={-45:27}] () at (aux27) {};
             \node[auxnode,label={-45:27}] () at (aux27) {};
             \coordinate (aux28) at ([xshift=\base]aux27);
             \coordinate (aux28) at ([xshift=\base]aux27);
             \node[auxnode,label={-45:28}] () at (aux28) {};
             \node[auxnode,label={-45:28}] () at (aux28) {};
-            \coordinate (aux29) at ([xshift=\base]aux28);
+            \coordinate (aux29) at ([xshift=2\base]aux28);
             \node[auxnode,label={-45:29}] () at (aux29) {};
             \node[auxnode,label={-45:29}] () at (aux29) {};
             
             
             \coordinate (aux33) at ([yshift=\base]aux23);
             \coordinate (aux33) at ([yshift=\base]aux23);
@@ -1293,15 +1292,15 @@ NLP问题的隐含结构假设 & 无隐含结构假设，端到端学习 \\
         \end{scope}
         \end{scope}
 
 
         \begin{scope}
         \begin{scope}
-            \node[wordnode,anchor=south] () at (aux21) {$h_t$};
+            \node[wordnode,anchor=south] () at ([xshift=0.5\base]aux21) {$h_t$};
             \node[wordnode,anchor=west] () at (aux12) {$x_t$};
             \node[wordnode,anchor=west] () at (aux12) {$x_t$};
-            \node[wordnode,anchor=south] () at (aux51) {$c_t$};
+            \node[wordnode,anchor=south] () at ([xshift=0.5\base]aux51) {$c_t$};
             \visible<3->{
             \visible<3->{
-                \node[wordnode,anchor=south] () at (aux59) {$c_{t+1}$};
+                \node[wordnode,anchor=south] () at ([xshift=-0.5\base]aux59) {$c_{t+1}$};
             }
             }
             \visible<4->{
             \visible<4->{
                 \node[wordnode,anchor=east] () at (aux68) {$h_{t+1}$};
                 \node[wordnode,anchor=east] () at (aux68) {$h_{t+1}$};
-                \node[wordnode,anchor=south] () at (aux29) {$h_{t+1}$};
+                \node[wordnode,anchor=south] () at ([xshift=-0.5\base]aux29) {$h_{t+1}$};
             }
             }
         \end{scope}
         \end{scope}
 
 
@@ -1312,19 +1311,19 @@ NLP问题的隐含结构假设 & 无隐含结构假设，端到端学习 \\
         \begin{scope}
         \begin{scope}
             \visible<1->{
             \visible<1->{
                 % forget gate formula
                 % forget gate formula
-                \node[formulanode,anchor=east,text width=3.4cm] () at ([xshift=-0.5\base]aux21) {遗忘门\\$f_t=\sigma(W_f[h_t,x_t]+b_f)$};
+                \node[formulanode,anchor=south east,text width=3.4cm] () at ([shift={(4\base,1.5\base)}]aux51) {遗忘门\\$f_t=\sigma(W_f[h_t,x_t]+b_f)$};
             }
             }
             \visible<2->{
             \visible<2->{
                 % input gate formula
                 % input gate formula
-                \node[formulanode,anchor=east] () at ([xshift=-0.5\base]aux51) {输入门\\$i_t=\sigma(W_i[h_t,x_t]+b_i)$\\$\hat{c}_t=\mathrm{tanh}(W_c[h_t,x_t]+b_c)$};
+                \node[formulanode,anchor=north east] () at ([shift={(4\base,-1.5\base)}]aux21) {输入门\\$i_t=\sigma(W_i[h_t,x_t]+b_i)$\\$\hat{c}_t=\mathrm{tanh}(W_c[h_t,x_t]+b_c)$};
             }
             }
             \visible<3->{
             \visible<3->{
                 % cell update formula
                 % cell update formula
-                \node[formulanode,anchor=west,text width=3.02cm] () at ([xshift=0.5\base]aux59) {记忆更新\\$c_{t+1}=f_t\cdot c_t+i_t\cdot \hat{c}_t$};
+                \node[formulanode,anchor=south west,text width=3.02cm] () at ([shift={(-4\base,1.5\base)}]aux59) {记忆更新\\$c_{t+1}=f_t\cdot c_t+i_t\cdot \hat{c}_t$};
             }
             }
             \visible<4->{
             \visible<4->{
                 % output gate formula
                 % output gate formula
-                \node[formulanode,anchor=west] () at ([xshift=0.5\base]aux29) {输出门\\$o_t=\sigma(W_o[h_t,x_t]+b_o)$\\$h_{t+1}=o_t\cdot \mathrm{tanh}(c_{t+1})$};
+                \node[formulanode,anchor=north west] () at ([shift={(-4\base,-1.5\base)}]aux29) {输出门\\$o_t=\sigma(W_o[h_t,x_t]+b_o)$\\$h_{t+1}=o_t\cdot \mathrm{tanh}(c_{t+1})$};
             }
             }
         \end{scope}
         \end{scope}
     \end{tikzpicture}
     \end{tikzpicture}