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mtbookv2
Commits
e287b5a4
Commit
e287b5a4
authored
Jan 01, 2021
by
单韦乔
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合并分支 'shanweiqiao' 到 'caorunzhe'
13.4图和文字 查看合并请求
!760
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81df22fe
2a74c729
全部展开
隐藏空白字符变更
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5 个修改的文件
包含
114 行增加
和
0 行删除
+114
-0
Chapter13/Figures/figure-a-predefined-course-planning.tex
+51
-0
Chapter13/Figures/figure-curriculum-learning-framework.tex
+34
-0
Chapter13/Figures/figure-framework-of-Adversarial-Neural-machine-translation.jpg
+0
-0
Chapter13/Figures/figure-reinforcement-learning-method-based-on-actor-critic.tex
+29
-0
Chapter13/chapter13.tex
+0
-0
没有找到文件。
Chapter13/Figures/figure-a-predefined-course-planning.tex
0 → 100644
查看文件 @
e287b5a4
\begin{tikzpicture}
\tikzstyle
{
node1
}
=[inner sep=0mm,minimum height=1em,minimum width=3em,fill=ugreen!10!blue!10]
\tikzstyle
{
node2
}
=[inner sep=0mm,minimum height=1em,minimum width=3em,fill=ugreen!20!blue!20]
\tikzstyle
{
node3
}
=[inner sep=0mm,minimum height=1em,minimum width=3em,fill=ugreen!30!blue!30]
\tikzstyle
{
node4
}
=[inner sep=0mm,minimum height=1em,minimum width=3em,fill=ugreen!40!blue!40]
\tikzstyle
{
node5
}
=[inner sep=0mm,minimum height=1em,minimum width=3em,fill=ugreen!50!blue!50]
\begin{scope}
\node
[anchor=north west]
(l1) at (0,0)
{
易
}
;
\node
[anchor=west]
(l2) at ([xshift=10.3em,yshift=0em]l1.east)
{
难
}
;
\draw
[->,thick] ([xshift=-2em,yshift=-1em]l1.south) -- ([xshift=2em,yshift=-1em]l2.south);
\node
[anchor=north,node1]
(c1) at ([xshift=0em,yshift=-2em]l1.south)
{}
;
\node
[anchor=west,node2]
(c2) at ([xshift=0em,yshift=0em]c1.east)
{}
;
\node
[anchor=west,node3]
(c3) at ([xshift=0em,yshift=0em]c2.east)
{}
;
\node
[anchor=west,node4]
(c4) at ([xshift=0em,yshift=0em]c3.east)
{}
;
\node
[anchor=west,node5]
(c5) at ([xshift=0em,yshift=0em]c4.east)
{}
;
\node
[anchor=north]
(lb1) at ([xshift=0em,yshift=-1.5em]c3.south)
{
(a)样本难易程度图示
}
;
\end{scope}
\begin{scope}
[yshift = -1.7in]
\foreach
\i
/
\j
/
\z
in
{
0/0/node1, 1/0/node1, 2/0/node1, 3/0/node1, 4/0/node1, 5/0/node1, 6/0/node1,
1/1/node2, 2/1/node2, 3/1/node2, 4/1/node2, 5/1/node2, 6/1/node2,
2/2/node3, 3/2/node3, 4/2/node3, 5/2/node3, 6/2/node3,
3/3/node4, 4/3/node4, 5/3/node4, 6/3/node4,
4/4/node5, 5/4/node5, 6/4/node5,
}
\node
[anchor=north west,\z,draw=white]
(n
\i\j
) at (1.0*3em*
\j
+ 0*0em,-1.0*1em*
\i
+ 0*0em)
{}
;
\node
[anchor=north west,node1,draw=white]
(nc) at (0,0)
{}
;
\draw
[->,very thick] ([xshift=-1em,yshift=1em]n00.north west) -- ([xshift=16em,yshift=1em]n00.north west);
\draw
[->,very thick] ([xshift=-1em,yshift=1em]n00.north west) -- ([xshift=-1em,yshift=-9em]n00.north west);
\node
[anchor=west]
(x1) at ([xshift=12em,yshift=2em]n00.north west)
{
数据块
}
;
\node
[anchor=east]
(y1) at ([xshift=-1em,yshift=-7.5em]n00.north west)
{
轮次
}
;
\node
[anchor=west,font=\small]
(t1) at ([xshift=0em,yshift=-1em]n60.south west)
{$
\ldots
$
直到模型收敛
}
;
\node
[anchor=north]
(lb2) at ([xshift=0em,yshift=-3em]n62.south)
{
(b)不同训练阶段使用的数据
}
;
\end{scope}
\end{tikzpicture}
\ No newline at end of file
Chapter13/Figures/figure-curriculum-learning-framework.tex
0 → 100644
查看文件 @
e287b5a4
\begin{tikzpicture}
\tikzstyle
{
node
}
=[inner sep=0mm,minimum height=3em,minimum width=6em,rounded corners=5pt]
\node
[anchor=west,node,fill=ugreen!30]
(n1) at (0,0)
{
训练集
}
;
\node
[anchor=west,node,fill=yellow!30]
(n2) at ([xshift=2em,yshift=0em]n1.east)
{
难度评估器
}
;
\node
[anchor=west,node,fill=red!30]
(n3) at ([xshift=4em,yshift=0em]n2.east)
{
训练调度器
}
;
\node
[anchor=west,node,fill=blue!30]
(n4) at ([xshift=4em,yshift=0em]n3.east)
{
模型训练器
}
;
\draw
[->,very thick] ([xshift=0em,yshift=0em]n1.east) -- ([xshift=0em,yshift=0em]n2.west);
\draw
[->,very thick] ([xshift=0em,yshift=0em]n2.east) -- ([xshift=0em,yshift=0em]n3.west);
\draw
[->,very thick] ([xshift=0em,yshift=0em]n3.east) -- ([xshift=0em,yshift=0em]n4.west);
\node
[anchor=west,inner sep=0mm,minimum height=2em,minimum width=3em,font=\small,align=left]
(n5) at ([xshift=0.5em,yshift=-1.5em]n2.east)
{
排序过
\\
的数据
}
;
\node
[anchor=west,inner sep=0mm,minimum height=2em,minimum width=3em,font=\small,align=left]
(n6) at ([xshift=1em,yshift=-1.5em]n3.east)
{
采样
\\
批次
$
t
$}
;
\node
[anchor=south west,inner sep=0mm,minimum height=2em,minimum width=4em,font=\small]
(n7) at ([xshift=2.5em,yshift=1em]n3.north)
{
如果模型收敛
}
;
\node
[anchor=south west,inner sep=0mm]
(n8) at ([xshift=0em,yshift=1.5em]n4.north)
{
批次
$
t
$}
;
\node
[anchor=north east,inner sep=0mm]
(n9) at ([xshift=0em,yshift=-1em]n3.south east)
{
课程设计
}
;
\draw
[->,dotted,very thick] ([xshift=0em,yshift=0em]n4.north) -- ([xshift=0em,yshift=1em]n4.north) -- ([xshift=0em,yshift=1em]n3.north) -- (n3.north);
\begin{pgfonlayer}
{
background
}
\node
[rectangle,inner sep=5pt,rounded corners=5pt,fill=gray!30]
[fit = (n3) (n4) (n6) (n8) ] (g2)
{}
;
\node
[rectangle,inner sep=5pt,rounded corners=5pt,fill=orange!30]
[fit = (n2) (n3) (n9) ] (g1)
{}
;
\end{pgfonlayer}
\end{tikzpicture}
\ No newline at end of file
Chapter13/Figures/figure-framework-of-Adversarial-Neural-machine-translation.jpg
0 → 100644
查看文件 @
e287b5a4
113 KB
Chapter13/Figures/figure-reinforcement-learning-method-based-on-actor-critic.tex
0 → 100644
查看文件 @
e287b5a4
\begin{tikzpicture}
\node
[anchor=west,inner sep=0mm,minimum height=4em,minimum width=5.5em,rounded corners=15pt,align=left,draw]
(n1) at (0,0)
{
Decoder
\\
Encoder
}
;
\node
[anchor=west,inner sep=0mm,minimum height=4em,minimum width=5.5em,rounded corners=15pt,align=left,draw]
(n2) at ([xshift=10em,yshift=0em]n1.east)
{
Decoder
\\
Encoder
}
;
\node
[anchor=south,inner sep=0mm,font=\small]
(a1) at ([xshift=0em,yshift=1em]n1.north)
{
演员
$
p
_{
\theta
}$}
;
\node
[anchor=north,inner sep=0mm]
(a2) at ([xshift=0em,yshift=-1em]n1.south)
{$
\mathbi
{
x
}_
1
,
\mathbi
{
x
}_
2
,
\ldots
,
\mathbi
{
x
}_
m
$}
;
\node
[anchor=south,inner sep=0mm,font=\small]
(c1) at ([xshift=0em,yshift=1em]n2.north)
{
评论家
$
Q
$}
;
\node
[anchor=north,inner sep=0mm]
(c2) at ([xshift=0em,yshift=-1em]n2.south)
{$
\mathbi
{
y
}_
1
,
\mathbi
{
y
}_
2
,
\ldots
,
\mathbi
{
y
}_
J
$}
;
\node
[anchor=west,inner sep=0mm]
(n3) at ([xshift=2.1em,yshift=2em]n1.east)
{$
Q
_
1
,Q
_
2
,
\ldots
,Q
_
J
$}
;
\node
[anchor=west,inner sep=0mm]
(n4) at ([xshift=2.9em,yshift=-0.4em]n1.east)
{$
\hat
{
\mathbi
{
y
}}_
1
,
\hat
{
\mathbi
{
y
}}_
2
,
\ldots
,
\hat
{
\mathbi
{
y
}}_
J
$}
;
\node
[anchor=west,inner sep=0mm,font=\small]
(n5) at ([xshift=3em,yshift=-3em]n1.east)
{
演员状态
}
;
\draw
[-,thick] ([xshift=0em,yshift=0em]n1.west) -- ([xshift=0em,yshift=0em]n1.east);
\draw
[-,thick] ([xshift=0em,yshift=0em]n2.west) -- ([xshift=0em,yshift=0em]n2.east);
\draw
[->,thick] ([xshift=0em,yshift=1em]n2.west) -- ([xshift=0em,yshift=1em]n1.east);
\draw
[->,thick] ([xshift=0em,yshift=0.5em]n1.east) -- ([xshift=0em,yshift=0.5em]n2.west);
\draw
[->,dotted,very thick] ([xshift=0em,yshift=0em]n1.east) .. controls ([xshift=3em,yshift=-1em]n1.-90) and ([xshift=-3em,yshift=-1em]n2.-90) .. (n2.west);
\end{tikzpicture}
\ No newline at end of file
Chapter13/chapter13.tex
查看文件 @
e287b5a4
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