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mtbookv2
Commits
b7584839
Commit
b7584839
authored
Jan 12, 2021
by
单韦乔
Browse files
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增加图片宽度
parent
6f4a5199
显示空白字符变更
内嵌
并排
正在显示
11 个修改的文件
包含
195 行增加
和
145 行删除
+195
-145
Chapter13/Figures/figure-network-with-dropout.tex
+78
-29
Chapter13/Figures/figure-reinforcement-learning-method-based-on-actor-critic.tex
+4
-4
Chapter2/Figures/figure-full-probability-word-segmentation-1.tex
+19
-19
Chapter2/Figures/figure-full-probability-word-segmentation-2.tex
+22
-22
Chapter2/Figures/figure-no-smoothing&smoothed-probability-distributions.tex
+3
-3
Chapter2/Figures/figure-self-information-function.tex
+1
-1
Chapter2/Figures/figure-the-dice-game-model.tex
+12
-12
Chapter2/Figures/figure-the-dice-game.tex
+27
-27
Chapter2/Figures/figure-the-dice-game2.tex
+27
-27
bibliography.bib
+1
-1
structure.tex
+1
-0
没有找到文件。
Chapter13/Figures/figure-network-with-dropout.tex
查看文件 @
b7584839
...
...
@@ -2,7 +2,7 @@
\begin{tikzpicture}
\def\neuronsep
{
1
}
\tikzstyle
{
neuronnode
}
= [minimum size=1
em,circle,draw,thick,ublue,inner sep=1
pt, fill=white,align=center]
\tikzstyle
{
neuronnode
}
= [minimum size=1
.5em,circle,draw=ublue,very thick,inner sep=0
pt, fill=white,align=center]
%standard
...
...
@@ -11,67 +11,115 @@
}
\foreach
\n
in
{
1,...,4
}{
\node
[neuronnode] (neuron1
\n
) at (1.
2
\neuronsep
,
\n
*
\neuronsep
)
{}
;
\node
[neuronnode] (neuron1
\n
) at (1.
5
\neuronsep
,
\n
*
\neuronsep
)
{}
;
}
\foreach
\n
in
{
1,...,4
}{
\node
[neuronnode] (neuron2
\n
) at (
2.4
*
\neuronsep
,
\n
*
\neuronsep
)
{}
;
\node
[neuronnode] (neuron2
\n
) at (
3
*
\neuronsep
,
\n
*
\neuronsep
)
{}
;
}
\node
[neuronnode] (neuron3) at (
3.6
*
\neuronsep
,2.5 *
\neuronsep
)
{}
;
\node
[neuronnode] (neuron3) at (
4.5
*
\neuronsep
,2.5 *
\neuronsep
)
{}
;
\foreach
\n
in
{
1,...,4
}{
\foreach
\m
in
{
1,...,4
}{
\draw
[->] (neuron0
\n
.east) -- (neuron1
\m
.west);
\foreach
\n
/
\o
in
{
1/180,2/165,3/150,4/135
}{
\draw
[->,line width=0.2mm] (neuron0
\n
.east) -- (neuron11.
\o
);
}
\foreach
\n
/
\o
in
{
1/220,2/190,3/170,4/140
}{
\foreach
\m
in
{
2,3
}{
\draw
[->,line width=0.2mm] (neuron0
\n
.east) -- (neuron1
\m
.
\o
);
}
}
\foreach
\n
in
{
1,...,4
}{
\foreach
\m
in
{
1,...,4
}{
\draw
[->] (neuron1
\n
.east) -- (neuron2
\m
.west);
\foreach
\n
/
\o
in
{
1/225,2/210,3/195,4/180
}{
\draw
[->,line width=0.2mm] (neuron0
\n
.east) -- (neuron14.
\o
);
}
%\foreach \n in {1,...,4}{
% \foreach \m in {1,...,4}{
% \draw [->,line width=0.2mm] (neuron1\n.east) -- (neuron2\m.west);
% }
%}
\foreach
\n
/
\o
in
{
1/180,2/165,3/150,4/135
}{
\draw
[->,line width=0.2mm] (neuron1
\n
.east) -- (neuron21.
\o
);
}
\foreach
\n
/
\o
in
{
1/220,2/190,3/170,4/140
}{
\foreach
\m
in
{
2,3
}{
\draw
[->,line width=0.2mm] (neuron1
\n
.east) -- (neuron2
\m
.
\o
);
}
}
\foreach
\n
in
{
1,...,4
}{
\draw
[->] (neuron2
\n
.east) -- (neuron3.west);
\foreach
\n
/
\o
in
{
1/225,2/210,3/195,4/180
}{
\draw
[->,line width=0.2mm] (neuron1
\n
.east) -- (neuron24.
\o
);
}
\foreach
\n
/
\o
in
{
1/220,2/190,3/170,4/140
}{
\draw
[->,line width=0.2mm] (neuron2
\n
.east) -- (neuron3.
\o
);
}
%drop
%layer1
\foreach
\n
in
{
1,3,4
}{
\node
[neuronnode] (neuron4
\n
) at (
5
*
\neuronsep
,
\n
*
\neuronsep
)
{}
;
\node
[neuronnode] (neuron4
\n
) at (
7
*
\neuronsep
,
\n
*
\neuronsep
)
{}
;
}
\node
[neuronnode,dashed] (neuron42) at (
5
*
\neuronsep
,2 *
\neuronsep
)
{}
;
\node
[neuronnode,dashed] (neuron42) at (
7
*
\neuronsep
,2 *
\neuronsep
)
{}
;
%layer1
\foreach
\n
in
{
1,2,4
}{
\node
[neuronnode] (neuron5
\n
) at (
6.2
*
\neuronsep
,
\n
*
\neuronsep
)
{}
;
\node
[neuronnode] (neuron5
\n
) at (
8.5
*
\neuronsep
,
\n
*
\neuronsep
)
{}
;
}
\node
[neuronnode,dashed] (neuron53) at (
6.2
*
\neuronsep
,3 *
\neuronsep
)
{}
;
\node
[neuronnode,dashed] (neuron53) at (
8.5
*
\neuronsep
,3 *
\neuronsep
)
{}
;
%layer3
\foreach
\n
in
{
1,4
}{
\node
[neuronnode] (neuron6
\n
) at (
7.4
*
\neuronsep
,
\n
*
\neuronsep
)
{}
;
\node
[neuronnode] (neuron6
\n
) at (
10
*
\neuronsep
,
\n
*
\neuronsep
)
{}
;
}
\node
[neuronnode,dashed] (neuron62) at (
7.4
*
\neuronsep
,2 *
\neuronsep
)
{}
;
\node
[neuronnode,dashed] (neuron63) at (
7.4
*
\neuronsep
,3 *
\neuronsep
)
{}
;
\node
[neuronnode,dashed] (neuron62) at (
10
*
\neuronsep
,2 *
\neuronsep
)
{}
;
\node
[neuronnode,dashed] (neuron63) at (
10
*
\neuronsep
,3 *
\neuronsep
)
{}
;
%layer4
\node
[neuronnode] (neuron7) at (
8.6
*
\neuronsep
,2.5 *
\neuronsep
)
{}
;
\node
[neuronnode] (neuron7) at (
11.5
*
\neuronsep
,2.5 *
\neuronsep
)
{}
;
\foreach
\n
in
{
1,3,4
}{
\foreach
\m
in
{
1,2,4
}{
\draw
[->] (neuron4
\n
.east) -- (neuron5
\m
.west);
}
%\foreach \n in {1,3,4}{
% \foreach \m in {1,2,4}{
% \draw [->,line width=0.2mm] (neuron4\n.east) -- (neuron5\m.west);
% }
%}
\foreach
\n
/
\o
in
{
1/180,3/150,4/135
}{
\draw
[->,line width=0.2mm] (neuron4
\n
.east) -- (neuron51.
\o
);
}
\foreach
\n
in
{
1,2,4
}{
\foreach
\m
in
{
1,4
}{
\draw
[->
] (neuron5
\n
.east) -- (neuron6
\m
.west
);
\foreach
\n
/
\o
in
{
1/220,3/170,4/140
}{
\foreach
\m
in
{
2
}{
\draw
[->
,line width=0.2mm] (neuron4
\n
.east) -- (neuron5
\m
.
\o
);
}
}
\foreach
\n
in
{
1,4
}{
\draw
[->] (neuron6
\n
.east) -- (neuron7.west);
\foreach
\n
/
\o
in
{
1/225,3/195,4/180
}{
\draw
[->,line width=0.2mm] (neuron4
\n
.east) -- (neuron54.
\o
);
}
%\foreach \n in {1,2,4}{
% \foreach \m in {1,4}{
% \draw [->,line width=0.2mm] (neuron5\n.east) -- (neuron6\m.west);
% }
%}
\foreach
\n
/
\o
in
{
1/180,2/165,4/135
}{
\draw
[->,line width=0.2mm] (neuron5
\n
.east) -- (neuron61.
\o
);
}
\foreach
\n
/
\o
in
{
1/225,2/210,4/180
}{
\draw
[->,line width=0.2mm] (neuron5
\n
.east) -- (neuron64.
\o
);
}
%\foreach \n in {1,4}{
% \draw [->,line width=0.2mm] (neuron6\n.east) -- (neuron7.west);
%}
\foreach
\n
/
\o
in
{
1/220,4/140
}{
\draw
[->,line width=0.2mm] (neuron6
\n
.east) -- (neuron7.
\o
);
}
\end{tikzpicture}
\ No newline at end of file
Chapter13/Figures/figure-reinforcement-learning-method-based-on-actor-critic.tex
查看文件 @
b7584839
\begin{tikzpicture}
\node
[anchor=west,thick,inner sep=0mm,minimum height=4em,minimum width=
5.5
em,rounded corners=15pt,align=left,draw,fill=red!15]
(n1) at (0,0)
{
Decoder
\\
Encoder
}
;
\node
[anchor=west,thick,inner sep=0mm,minimum height=4em,minimum width=
8
em,rounded corners=15pt,align=left,draw,fill=red!15]
(n1) at (0,0)
{
Decoder
\\
Encoder
}
;
\node
[anchor=west,thick,inner sep=0mm,minimum height=4em,minimum width=
5.5em,rounded corners=15pt,align=left,draw,fill=green!15]
(n2) at ([xshift=10
em,yshift=0em]n1.east)
{
Decoder
\\
Encoder
}
;
\node
[anchor=west,thick,inner sep=0mm,minimum height=4em,minimum width=
8em,rounded corners=15pt,align=left,draw,fill=green!15]
(n2) at ([xshift=14
em,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
$}
;
...
...
@@ -24,8 +24,8 @@
%\draw [->,dotted,very thick] ([xshift=0em,yshift=0em]n1.east) .. controls ([xshift=3em,yshift=-1em]n1.-90) and ([xshift=-3em,yshift=-1em]n2.-90) .. (n2.west);
\node
[anchor=west,inner sep=0mm]
(n3) at ([xshift=
2
.1em,yshift=1em]n1.east)
{$
Q
_
1
,Q
_
2
,
\ldots
,Q
_
J
$}
;
\node
[anchor=west,inner sep=0mm]
(n4) at ([xshift=
2
.9em,yshift=-1em]n1.east)
{$
\tilde
{{
y
}}_
1
,
\tilde
{{
y
}}_
2
,
\ldots
,
\tilde
{{
y
}}_
J
$}
;
\node
[anchor=west,inner sep=0mm]
(n3) at ([xshift=
4
.1em,yshift=1em]n1.east)
{$
Q
_
1
,Q
_
2
,
\ldots
,Q
_
J
$}
;
\node
[anchor=west,inner sep=0mm]
(n4) at ([xshift=
4
.9em,yshift=-1em]n1.east)
{$
\tilde
{{
y
}}_
1
,
\tilde
{{
y
}}_
2
,
\ldots
,
\tilde
{{
y
}}_
J
$}
;
\draw
[->,thick] ([xshift=-0.1em,yshift=0.6em]n2.west) -- ([xshift=0.1em,yshift=0.6em]n1.east);
\draw
[->,thick] ([xshift=0.1em,yshift=-0.6em]n1.east) -- ([xshift=-0.1em,yshift=-0.6em]n2.west);
...
...
Chapter2/Figures/figure-full-probability-word-segmentation-1.tex
查看文件 @
b7584839
...
...
@@ -13,32 +13,32 @@
{
\begin{scope}
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s1) at (0,0)
{{
88
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s2) at ([xshift=0.
2
cm]s1.east)
{{
87
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s3) at ([xshift=0.
2
cm]s2.east)
{{
45
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s4) at ([xshift=0.
2
cm]s3.east)
{{
47
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s5) at ([xshift=0.
2
cm]s4.east)
{{
100
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s6) at ([xshift=0.
2
cm]s5.east)
{{
15
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s2) at ([xshift=0.
7
cm]s1.east)
{{
87
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s3) at ([xshift=0.
7
cm]s2.east)
{{
45
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s4) at ([xshift=0.
7
cm]s3.east)
{{
47
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s5) at ([xshift=0.
7
cm]s4.east)
{{
100
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s6) at ([xshift=0.
7
cm]s5.east)
{{
15
}}
;
\end{scope}
\begin{scope}
[yshift=-1cm]
\begin{scope}
[yshift=-1
.2
cm]
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s1) at (0,0)
{{
5
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s2) at ([xshift=0.
2
cm]s1.east)
{{
230
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s3) at ([xshift=0.
2
cm]s2.east)
{{
7
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s4) at ([xshift=0.
2
cm]s3.east)
{{
234
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s5) at ([xshift=0.
2
cm]s4.east)
{{
500
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s6) at ([xshift=0.
2
cm]s5.east)
{{
39
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s7) at ([xshift=0.
2
cm]s6.east)
{{
100
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s8) at ([xshift=0.
2
cm]s7.east)
{{
15
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s2) at ([xshift=0.
7
cm]s1.east)
{{
230
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s3) at ([xshift=0.
7
cm]s2.east)
{{
7
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s4) at ([xshift=0.
7
cm]s3.east)
{{
234
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s5) at ([xshift=0.
7
cm]s4.east)
{{
500
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s6) at ([xshift=0.
7
cm]s5.east)
{{
39
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s7) at ([xshift=0.
7
cm]s6.east)
{{
100
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s8) at ([xshift=0.
7
cm]s7.east)
{{
15
}}
;
\end{scope}
\begin{scope}
[yshift=-2cm]
\begin{scope}
[yshift=-2
.4
cm]
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s1) at (0,0)
{{
975
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s2) at ([xshift=0.
2
cm]s1.east)
{{
7
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s3) at ([xshift=0.
2
cm]s2.east)
{{
234
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s4) at ([xshift=0.
2
cm]s3.east)
{{
294
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s5) at ([xshift=0.
2
cm]s4.east)
{{
69
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s6) at ([xshift=0.
2
cm]s5.east)
{{
15
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s2) at ([xshift=0.
7
cm]s1.east)
{{
7
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s3) at ([xshift=0.
7
cm]s2.east)
{{
234
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s4) at ([xshift=0.
7
cm]s3.east)
{{
294
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s5) at ([xshift=0.
7
cm]s4.east)
{{
69
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s6) at ([xshift=0.
7
cm]s5.east)
{{
15
}}
;
\end{scope}
...
...
Chapter2/Figures/figure-full-probability-word-segmentation-2.tex
查看文件 @
b7584839
...
...
@@ -9,34 +9,34 @@
\begin{tikzpicture}
\begin{scope}
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s1) at (0,0)
{
这
}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s2) at ([xshift=0.
2
cm]s1.east)
{
是
}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s3) at ([xshift=0.
2
cm]s2.east)
{
一
}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s4) at ([xshift=0.
2
cm]s3.east)
{
种
}
;
\node
[anchor=west,draw,very thick,minimum size=25pt, inner sep=0]
(s5) at ([xshift=0.
2
cm]s4.east)
{
\small
{
数据
}}
;
\node
[anchor=west,draw,very thick,minimum size=25pt]
(s6) at ([xshift=0.
2
cm]s5.east)
{
。
}
;
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[anchor=west]
(s7) at ([xshift=0.
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{
...
}
;
\node
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{
是
}
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{
一
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{
种
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数据
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;
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{
。
}
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(s7) at ([xshift=0.
55
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{
...
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[yshift=-1cm]
\begin{scope}
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.2
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\node
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(s1) at (0,0)
{
现在
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;
\node
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{
已经
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{
有
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不少
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可
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{
用
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(s7) at ([xshift=0.
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{
数据
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(s8) at ([xshift=0.
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。
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...
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已经
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有
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不少
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可
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{
用
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数据
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。
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...
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[yshift=-2
.4
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确实
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有
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很
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多
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。
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2
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{
...
}
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(s2) at ([xshift=0.
55
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{
有
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;
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(s3) at ([xshift=0.
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{
很
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{
多
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{
疑问
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[anchor=west,draw,very thick,minimum size=25pt]
(s6) at ([xshift=0.
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{
。
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(s7) at ([xshift=0.
55
cm]s6.east)
{
...
}
;
\end{scope}
\end{tikzpicture}
...
...
Chapter2/Figures/figure-no-smoothing&smoothed-probability-distributions.tex
查看文件 @
b7584839
\definecolor
{
ublue
}{
rgb
}{
0.152,0.250,0.545
}
\begin{tikzpicture}
\begin{axis}
[
width=1
0
cm, height=4.5cm,
width=1
2
cm, height=4.5cm,
symbolic x coords=
{
未抽取词,do,want,what,am,people,look
}
,
xtick=data,
ytick=
{
0,0.05,0.1,0.15,0.2,0.25
}
,
xlabel=
{
低概率词汇
}
,
ylabel=
{
词汇概率
}
,
legend pos=outer north east,
xlabel style=
{
align=right,xshift=
5.3
cm,yshift=0.8cm,font=
\footnotesize
}
,
xlabel style=
{
align=right,xshift=
6.5
cm,yshift=0.8cm,font=
\footnotesize
}
,
ylabel style=
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rotate=-90,yshift=2cm,xshift=1cm,font=
\footnotesize
}
,
y tick style=
{
opacity=0
}
,
x tick style=
{
opacity=0
}
,
...
...
@@ -24,7 +24,7 @@
ymin=0,
ymax=0.25]
\addplot
[ybar,bar shift=-2mm,bar width=4mm,fill=blue!40,draw=blue!40,area legend] coordinates
{
(未抽取词,0) (do,0.05) (want,0.05) (what,0.05) (am,0.1) (people,0.15) (look,0.2)
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;
\addplot
[ybar,bar shift=2mm,bar width=4mm,fill=red!40,draw=red!40,area legend] coordinates
{
(未抽取词,0.03) (do,0.062) (want,0.062) (what,0.062) (am,0.09) (people,0.122) (look,0.138)
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;
\addplot
[ybar,bar shift=2
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mm,bar width=4mm,fill=red!40,draw=red!40,area legend] coordinates
{
(未抽取词,0.03) (do,0.062) (want,0.062) (what,0.062) (am,0.09) (people,0.122) (look,0.138)
}
;
\legend
{
未平滑,平滑后
}
\end{axis}
\end{tikzpicture}
...
...
Chapter2/Figures/figure-self-information-function.tex
查看文件 @
b7584839
\definecolor
{
ublue
}{
rgb
}{
0.152,0.250,0.545
}
\begin{tikzpicture}
\begin{axis}
[
width=1
2
cm,
width=1
4
cm,
height=4cm,
xlabel=
{{$
\funp
{
P
}
(
x
)
$}}
,
ylabel=
{{$
\funp
{
I
}
(
x
)
$}}
,
...
...
Chapter2/Figures/figure-the-dice-game-model.tex
查看文件 @
b7584839
...
...
@@ -10,55 +10,55 @@
\begin{scope}
{
\footnotesize
\foreach
\i
in
{
1,...,5
}{
\node
[draw,thick,minimum size=10pt] at (
\i
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{
1
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{
1
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;
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3
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{$
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P
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(
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1
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5
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30
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{$
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{
P
}
(
\text
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5
/
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[yshift=-2.5em]
{
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in
{
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{{
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{
red
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2
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red
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2
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{$
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{
P
}
(
\text
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2
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=
4
/
30
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4
3em,0)
{$
\funp
{
P
}
(
\text
{
2
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=
4
/
30
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;
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[yshift=-5.0em]
{
\footnotesize
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in
{
1,...,6
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\i
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{{
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ublue
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3
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{{
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P
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(
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6
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{$
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P
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4
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{$
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P
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{$
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P
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2
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;
\end{scope}
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...
...
Chapter2/Figures/figure-the-dice-game.tex
查看文件 @
b7584839
...
...
@@ -13,41 +13,41 @@
{
\begin{scope}
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...
...
Chapter2/Figures/figure-the-dice-game2.tex
查看文件 @
b7584839
...
...
@@ -12,41 +12,41 @@
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...
...
bibliography.bib
查看文件 @
b7584839
...
...
@@ -7130,7 +7130,7 @@ author = {Yoshua Bengio and
@inproceedings{Katharopoulos2020TransformersAR,
title={Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention},
author={Angelos Katharopoulos and Apoorv Vyas and Nikolaos Pappas and Franccois Fleuret},
publisher={
CoRR
},
publisher={
International Conference on Machine Learning
},
year={2020},
volume={abs/2006.16236}
}
...
...
structure.tex
查看文件 @
b7584839
...
...
@@ -600,6 +600,7 @@ addtohook={%
%----------------------------------------------------------------------------------------
\usepackage
{
pgffor
}
%图片中使用\foreach语句
%\usepackage{ulem}%使用/sout
\usepackage
{
soul
}
%----------------------------------------------------------------------------------------
% Chapter 6
...
...
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