9的图

Chapter9/Figures/figure-compare.tex

@@ -3,20 +3,20 @@
 {
 \begin{scope}
 \node [] (part1label) at (0,0) {\includegraphics[scale=0.22]{./Chapter9/Figures/figure-feature-engineering.jpg}};
-\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label11) at ([xshift=0.6em,yshift=1.7em]part1label.north) {\large{特征工程+机器学习}};
-\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label12) at ([xshift=-11em,yshift=-6em]part1label.north) {\normalsize{输入}};
-\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label13) at ([xshift=-1em,yshift=-6em]part1label.north) {\normalsize{特征提取}};
-\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label14) at ([xshift=6.9em,yshift=-6em]part1label.north) {\normalsize{分类}};
-\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label15) at ([xshift=14.2em,yshift=-6em]part1label.north) {\normalsize{输出}};
+\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label11) at ([xshift=0.3em,yshift=2em]part1label.north) {\large{特征工程+机器学习}};
+\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label12) at ([xshift=-11em,yshift=-6.3em]part1label.north) {\normalsize{输入}};
+\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label13) at ([xshift=-1em,yshift=-6.3em]part1label.north) {\normalsize{特征提取}};
+\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label14) at ([xshift=6.9em,yshift=-6.3em]part1label.north) {\normalsize{分类}};
+\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label15) at ([xshift=14.2em,yshift=-6.3em]part1label.north) {\normalsize{输出}};
 \end{scope}
 }
 {
 \begin{scope}[yshift=-1.5in]
 \node [] (part1label2) at (0,0) {\includegraphics[scale=0.22]{./Chapter9/Figures/figure-deep-learning.jpg}};
-\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label21) at ([xshift=0.4em,yshift=1.2em]part1label2.north) {\large{深度学习（端到端学习）}};
-\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label22) at ([xshift=-11em,yshift=-5.7em]part1label2.north) {\normalsize{输入}};
-\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label23) at ([xshift=3.0em,yshift=-5.7em]part1label2.north) {\normalsize{特征提取+分类}};
-\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label24) at ([xshift=14.2em,yshift=-5.7em]part1label2.north) {\normalsize{输出}};
+\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label21) at ([xshift=0.2em,yshift=1.2em]part1label2.north) {\large{深度学习（端到端学习）}};
+\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label22) at ([xshift=-11em,yshift=-6em]part1label2.north) {\normalsize{输入}};
+\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label23) at ([xshift=3.0em,yshift=-6em]part1label2.north) {\normalsize{特征提取+分类}};
+\node [anchor=north,minimum width=2.0em,minimum height=1.5em] (label24) at ([xshift=14.2em,yshift=-6em]part1label2.north) {\normalsize{输出}};
 \end{scope}
 }
 \end{tikzpicture}