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合并分支 'caorunzhe' 到 'master' 

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正在显示 包含 31 行增加 和 29 行删除
Chapter10/Figures/figure-presentation-space.tex
......@@ -15,7 +15,7 @@
\draw [->] ([xshift=1pt]unit2.east) .. controls +(east:0.5) and +(south:0.2) .. ([xshift=0.2em,yshift=-1pt]unitbox.south);
\node [anchor=south] (spacelabel1) at (space1.north) {\scriptsize{离散表示空间}};
\node [anchor=north] (captain1) at ([yshift=-0.5em]space1.south) {\scriptsize{(a) \textbf{统计机器翻译}}};
\node [anchor=north] (captain1) at ([yshift=-0.5em]space1.south) {\small{(a) \textbf{统计机器翻译}}};
\end{scope}
......@@ -32,7 +32,7 @@
\node [anchor=south] (spacelabel1) at (space1.north) {\scriptsize{离散表示空间}};
\node [anchor=south] (spacelabel2) at (space2.north) {\scriptsize{连续表示空间}};
\node [anchor=north] (captain1) at ([yshift=-0.5em,xshift=1em]space1.south east) {\scriptsize{(b) \textbf{神经机器翻译}}};
\node [anchor=north] (captain1) at ([yshift=-0.5em,xshift=1em]space1.south east) {\small{(b) \textbf{神经机器翻译}}};
\end{scope}
......
Chapter10/chapter10.tex
......@@ -514,10 +514,10 @@ $\funp{P}({y_j | \mathbi{s}_{j-1} ,y_{j-1},\mathbi{C}})$由Softmax实现，Softm
%----------------------------------------------
\begin{figure}[htp]
\centering
\subfigure[遗忘门]{\input{./Chapter10/Figures/figure-lstm01}}
\subfigure[输入门]{\input{./Chapter10/Figures/figure-lstm02}}
\subfigure[记忆更新]{\input{./Chapter10/Figures/figure-lstm03}}
\subfigure[输出门]{\input{./Chapter10/Figures/figure-lstm04}}
\subfigure[{\small 遗忘门}]{\input{./Chapter10/Figures/figure-lstm01}}
\subfigure[{\small 输入门}]{\input{./Chapter10/Figures/figure-lstm02}}
\subfigure[{\small 记忆更新}]{\input{./Chapter10/Figures/figure-lstm03}}
\subfigure[{\small 输出门}]{\input{./Chapter10/Figures/figure-lstm04}}
\caption{LSTM中的门控结构}
\label{fig:10-11}
\end{figure}
......@@ -578,9 +578,9 @@ $\funp{P}({y_j | \mathbi{s}_{j-1} ,y_{j-1},\mathbi{C}})$由Softmax实现，Softm
%----------------------------------------------
\begin{figure}[htp]
\centering
\subfigure[重置门]{\input{./Chapter10/Figures/figure-gru01}}
\subfigure[更新门]{\input{./Chapter10/Figures/figure-gru02}}
\subfigure[隐藏状态更新]{\input{./Chapter10/Figures/figure-gru03}}
\subfigure[{\small 重置门}]{\input{./Chapter10/Figures/figure-gru01}}
\subfigure[{\small 更新门}]{\input{./Chapter10/Figures/figure-gru02}}
\subfigure[{\small 隐藏状态更新}]{\input{./Chapter10/Figures/figure-gru03}}
\caption{GRU中的门控结构}
\label{fig:10-13}
\end{figure}
......@@ -1110,9 +1110,9 @@ L(\mathbi{Y},\widehat{\mathbi{Y}}) &=& \sum_{j=1}^n L_{\textrm{ce}}(\mathbi{y}_j
\begin{figure}[htp]
\centering
\begin{tabular}{l l}
\subfigure[]{\input{./Chapter10/Figures/figure-process01}} &\subfigure[]{\input{./Chapter10/Figures/figure-process02}} \\
\subfigure[]{\input{./Chapter10/Figures/figure-process03}} &\subfigure[]{\input{./Chapter10/Figures/figure-process04}} \\
\subfigure[]{\input{./Chapter10/Figures/figure-process05}} &\subfigure[]{\input{./Chapter10/Figures/figure-process06}}
\subfigure[{\small }]{\input{./Chapter10/Figures/figure-process01}} &\subfigure[{\small }]{\input{./Chapter10/Figures/figure-process02}} \\
\subfigure[{\small }]{\input{./Chapter10/Figures/figure-process03}} &\subfigure[{\small }]{\input{./Chapter10/Figures/figure-process04}} \\
\subfigure[{\small }]{\input{./Chapter10/Figures/figure-process05}} &\subfigure[{\small }]{\input{./Chapter10/Figures/figure-process06}}
\end{tabular}
\caption{一个三层循环神经网络的模型并行过程}
\label{fig:10-28}
......
Chapter11/Figures/figure-deep-vs-light.tex
......@@ -27,7 +27,7 @@
\node[vuale] at (6.5em, 9.9em) {$\mathbi{z}_1$};
\node (t2) at (2.5em, -1em) {\large{$\cdots$}};
\node [anchor=north,font=\tiny] at ([yshift=-0.2em]t2.south) {深度卷积};
\node [anchor=north,font=\tiny,scale=1.1] at ([yshift=-0.2em]t2.south) {深度卷积};
\end{scope}
\begin{scope}[xshift=4cm]
......@@ -52,7 +52,7 @@
\node[vuale] at (6.5em, 9.9em) {$\mathbi{z}_1$};
\node (t2) at (2.5em, -1em) {\large{$\cdots$}};
\node [anchor=north,font=\tiny] at ([yshift=-0.2em]t2.south) {轻量卷积};
\node [anchor=north,font=\tiny,scale=1.1] at ([yshift=-0.2em]t2.south) {轻量卷积};
\end{scope}
\end{tikzpicture}
\ No newline at end of file
Chapter11/Figures/figure-standard.tex
......@@ -40,7 +40,7 @@
\node[vuale] at ([xshift=0.9em]r3_1.east) {$\mathbi{z}_1$};
\node (t1) at (2.5em, -1em) {\large{$\cdots$}};
\node [anchor=north,font=\tiny] at ([yshift=-0.2em]t1.south) {(a) 标准卷积};
\node [anchor=north,font=\tiny,scale=1.1] at ([yshift=-0.2em]t1.south) {(a) 标准卷积};
\end{scope}
\begin{scope}[xshift=4cm]
......@@ -74,7 +74,7 @@
\node[vuale] at ([xshift=0.9em]r3_1.east) {$\mathbi{z}_1$};
\node (t2) at (2.5em, -1em) {\large{$\cdots$}};
\node [anchor=north,font=\tiny] at ([yshift=-0.2em]t2.south) {(b) 深度卷积};
\node [anchor=north,font=\tiny,scale=1.1] at ([yshift=-0.2em]t2.south) {(b) 深度卷积};
\end{scope}
\begin{scope}[xshift=8cm]
......@@ -110,7 +110,7 @@
\node[vuale] at ([xshift=0.9em]r3_1.east) {$\mathbi{z}_1$};
\node (t3) at (2.5em, -1em) {\large{$\cdots$}};
\node [anchor=north,font=\tiny] at ([yshift=-0.2em]t3.south) {(c) 逐点卷积};
\node [anchor=north,font=\tiny,scale=1.1] at ([yshift=-0.2em]t3.south) {(c) 逐点卷积};
\end{scope}
\end{tikzpicture}
\ No newline at end of file
Chapter11/chapter11.tex
......@@ -45,9 +45,9 @@
\begin{figure}[htp]
\centering
%\input{./Chapter11/Figures/figure-f }
\subfigure[全连接层]{\input{./Chapter11/Figures/figure-full-connection-vs-cnn-a}}
\subfigure[{\small 全连接层}]{\input{./Chapter11/Figures/figure-full-connection-vs-cnn-a}}
\hspace{2cm}
\subfigure[卷积层]{\input{./Chapter11/Figures/figure-full-connection-vs-cnn-b}}
\subfigure[{\small 卷积层}]{\input{./Chapter11/Figures/figure-full-connection-vs-cnn-b}}
\caption{全连接层（a）与卷积层（b）的结构对比}
\label{fig:11-1}
\end{figure}
......@@ -171,8 +171,8 @@
\begin{figure}[htp]
\centering
%\input{./Chapter11/Figures/figure-f }
\subfigure[最大池化]{\input{./Chapter11/Figures/figure-max-pooling}}
\subfigure[平均池化]{\input{./Chapter11/Figures/figure-average-pooling}}
\subfigure[{\small 最大池化}]{\input{./Chapter11/Figures/figure-max-pooling}}
\subfigure[{\small 平均池化}]{\input{./Chapter11/Figures/figure-average-pooling}}
\caption{池化操作}
\label{fig:11-8}
\end{figure}
......@@ -194,8 +194,8 @@
\begin{figure}[htp]
\centering
%\input{./Chapter11/Figures/figure-f }
\subfigure[循环神经网络的串行结构]{\input{./Chapter11/Figures/figure-structural-comparison-a}}
\subfigure[卷积神经网络的层级结构]{\input{./Chapter11/Figures/figure-structural-comparison-b}}
\subfigure[{\small 循环神经网络的串行结构}]{\input{./Chapter11/Figures/figure-structural-comparison-a}}
\subfigure[{\small 卷积神经网络的层级结构}]{\input{./Chapter11/Figures/figure-structural-comparison-b}}
\caption{串行及层级结构对比（$\mathbi{e}_i$表示词嵌入，$\mathbi{0}$表示$\mathbi{0}$向量，方框里的2、3、4表示层次编号）}
\label{fig:11-9}
\end{figure}
......
Chapter12/Figures/figure-different-regularization-methods.tex
......@@ -14,8 +14,8 @@
\node [anchor=west] (plus1) at ([xshift=0.9em]l1.east) {\scriptsize{$\mathbf{\oplus}$}};
\node [anchor=west] (plus2) at ([xshift=0.9em]l4.east) {\scriptsize{$\mathbf{\oplus}$}};
\node [anchor=north] (label1) at ([xshift=3em,yshift=-0.5em]l1.south) {\scriptsize{(a)后标准化}};
\node [anchor=north] (label2) at ([xshift=3em,yshift=-0.5em]l3.south) {\scriptsize{(b)前标准化}};
\node [anchor=north] (label1) at ([xshift=3em,yshift=-0.5em]l1.south) {\small{(a)后标准化}};
\node [anchor=north] (label2) at ([xshift=3em,yshift=-0.5em]l3.south) {\small{(b)前标准化}};
\draw [->,thick] ([xshift=-1.5em]l1.west) -- ([xshift=-0.1em]l1.west);
\draw [->,thick] ([xshift=0.1em]l1.east) -- ([xshift=0.2em]plus1.west);
......
Chapter5/Figures/figure-a-more-detailed-explanation-of-formula-3.40.tex
......@@ -27,7 +27,7 @@
}
{
\node [anchor=south west,inner sep=2pt] (label1) at (eq4.north west) {{\scriptsize{翻译概率$\textrm{P}(\mathbf{s}|\mathbf{t})$}}};
\node [anchor=south west,inner sep=2pt] (label1) at (eq4.north west) {{\scriptsize{翻译概率$\funp{P}(\seq{s}|\seq{t})$}}};
}
{
\node [anchor=south west,inner sep=2pt] (label2) at (eq5.north west) {{\scriptsize{配对的总次数}}};
......
Chapter5/Figures/figure-different-alignment-comparison.tex
......@@ -13,7 +13,7 @@
\draw [-] (s2.south) -- (t2.north);
\node [anchor=center,draw=ublue,circle,thick,fill=white,inner sep=1pt,circular drop shadow={shadow xshift=0.1em,shadow yshift=-0.1em}] (mark) at ([xshift=0.8em,yshift=-0.7em]s2.south east) {{\color{ugreen} \tiny{\textbf{Yes}}}};
}
\node [anchor=center] (labela) at ([xshift=2em,yshift=-1.0em]t1.south) {\scriptsize{(a)}};
\node [anchor=center] (labela) at ([xshift=2em,yshift=-1.0em]t1.south) {\small{(a)}};
\end{scope}
\begin{scope}[xshift=2.3in]
{\small
......@@ -25,7 +25,7 @@
\draw [-] (s1.south) -- (t2.north);
\node [anchor=center,draw=ublue,circle,thick,fill=white,inner sep=1.5pt,circular drop shadow={shadow xshift=0.1em,shadow yshift=-0.1em}] (mark) at ([xshift=0.8em,yshift=-0.7em]s2.south east) {{\color{red} \tiny{\textbf{No}}}};
}
\node [anchor=center] (labelb) at ([xshift=2em,yshift=-1.0em]t1.south) {\scriptsize{(b)}};
\node [anchor=center] (labelb) at ([xshift=2em,yshift=-1.0em]t1.south) {\small{(b)}};
\end{scope}
\begin{scope}[xshift=4.1in]
{\small
......@@ -37,7 +37,7 @@
\draw [-] (s2.south) -- ([yshift=-0.2em]t1.north);
\node [anchor=center,draw=ublue,circle,thick,fill=white,inner sep=1pt,circular drop shadow={shadow xshift=0.1em,shadow yshift=-0.1em}] (mark) at ([xshift=0.8em,yshift=-0.7em]s2.south east) {{\color{ugreen} \tiny{\textbf{Yes}}}};
}
\node [anchor=center] (labelc) at ([xshift=2em,yshift=-1.0em]t1.south) {\scriptsize{(c)}};
\node [anchor=center] (labelc) at ([xshift=2em,yshift=-1.0em]t1.south) {\small{(c)}};
\end{scope}
\end{tikzpicture}
......
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