MathematicalEngineeringDeepLearning/tikz/figure2-1-training_prediction.tex at master · yoninazarathy/MathematicalEngineeringDeepLearning · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
\documentclass[tikz, border=20pt]{standalone}

\usepackage{tikz}
\usepackage{geometry}
\usepackage{medl_colors}
\usepackage{graphicx}
\graphicspath{ {./images/} }

\usetikzlibrary{shapes.multipart, shapes.geometric, arrows.meta}
\usetikzlibrary{matrix,decorations.pathreplacing, calc, positioning,fit}

\begin{document}

\begin{tikzpicture}

 \newcommand\cube[6]
 {
\fill[yellowshape] (#1+#4,#2,#3) -- (#1+#4,#2+#5,#3) -- (#1,#2+#5,#3)  --(#1,#2,#3) -- cycle;
\fill[yellowshape]  (#1+#4,#2,#3) -- (#1+#4,#2,#3+#6) -- (#1+#4,#2+#5,#3+#6) -- (#1+#4,#2+#5,#3) -- cycle;
\fill[yellowshape]  (#1+#4,#2+#5,#3) -- (#1,#2+#5,#3) -- (#1,#2+#5,#3+#6) -- (#1+#4,#2+#5,#3+#6) -- cycle;
}


%Training Data
\node[thickline, rectangle split, rectangle split parts=2, rectangle split horizontal, rectangle split draw splits=false, rectangle split part fill={fill-green, fill-red}, minimum height=3cm, draw] (rect1) {
    \nodepart[text width=1.2cm]{one}
    \nodepart[text width=.3cm]{two}
};

\draw[densely dashed] (rect1.one split north) -- (rect1.one split south);
\draw[draw, -] ([yshift=-0.1cm]rect1.two north) -- ([yshift=0.1cm]rect1.two south) node[midway, anchor=center, fill=fill-red] {\large $y$}+(0,1mm);
\draw[draw, -] ([yshift=-0.1cm]rect1.one north) -- ([yshift=0.1cm]rect1.one south) node[midway, anchor=center, fill=fill-green] {\large $x$};
\node[above of=rect1, align=center, node distance=2cm] (training) {\large Training Data};

%Learning Algorithm Cube
\cube{3}{-1.2}{0}{3}{2}{-1.5}
\node[align=center] at (4.6,-.1) {\large Learning\\\large Algorithm};

%model
\node[blueshape, ellipse, minimum width = 3.5cm, minimum height = 2.5cm,  align=center] (model) at (11,0) {\large Model\\(Prediction \\ Algorithm)};

%\node[blueshape, ellipse, minimum width = 4cm, minimum height = 2.5cm,  align=center] (model) at (10.5,3) {\large Model\\(Clustering\\Rule)};


%Real world
\node[scale = .3] (inputpic) at (18,0) {\includegraphics {images/earth.jpeg}};
\node[right of=inputpic, align=center, node distance=1.6cm] {\large Real\\ \large World};

%Arrows
\draw [-Triangle, ubthickline] (rect1.east)+(.1cm,0) -- node[] {} ++(1.7,0);
\draw [-Triangle, ubthickline] (model.west)+(-2.9cm,0) to (model.west) node[] (arrow1) {};
\path (model) edge [-Triangle,out=270,in=270, ubthickline] node [midway, anchor=center, fill=white] {\Large $\hat{y}$} (inputpic);
\path (model) edge [Triangle-,out=90,in=90,ubthickline] node [midway, anchor=center, fill=white] {\Large $[ -\hspace{.3cm}  x^\star \hspace{.3cm} - ] $} (inputpic);
\path (inputpic) edge [-Triangle,dashed, out=80,in=80,ubthickline] node [] {} (training);

\end{tikzpicture}

\end{document}