Neural Network color
Author:
Chih-Hsiang Chang
Last Updated:
há 12 anos
License:
Creative Commons CC BY 4.0
Abstract:
Neural Network with different color
\begin
Discover why over 25 million people worldwide trust Overleaf with their work.
\begin
Discover why over 25 million people worldwide trust Overleaf with their work.
\documentclass[border=0.125cm]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\begin{document}
\tikzset{%
neuron missing/.style={
draw=none,
scale=4,
text height=0.333cm,
execute at begin node=\color{black}$\vdots$
},
}
\begin{tikzpicture}[x=1.5cm, y=1.5cm, >=stealth]
\foreach \m/\l [count=\y] in {1,2,3}
{
\node [circle,fill=green!50,minimum size=1cm] (input-\m) at (0,2.5-\y) {};
}
\foreach \m/\l [count=\y] in {4}
{
\node [circle,fill=green!50,minimum size=1cm ] (input-\m) at (0,-2.5) {};
}
\node [neuron missing] at (0,-1.5) {};
\foreach \m [count=\y] in {1}
\node [circle,fill=red!50,minimum size=1cm ] (hidden-\m) at (2,0.75) {};
\foreach \m [count=\y] in {2}
\node [circle,fill=red!50,minimum size=1cm ] (hidden-\m) at (2,-1.85) {};
\node [neuron missing] at (2,-0.3) {};
\foreach \m [count=\y] in {1}
\node [circle,fill=blue!50,minimum size=1cm ] (output-\m) at (4,1.5-\y) {};
\foreach \m [count=\y] in {2}
\node [circle,fill=blue!50,minimum size=1cm ] (output-\m) at (4,-0.5-\y) {};
\node [neuron missing] at (4,-0.4) {};
\foreach \l [count=\i] in {1,2,3,256}
\draw [<-] (input-\i) -- ++(-1,0)
node [above, midway] {$I_{\l}$};
\foreach \l [count=\i] in {1,16}
\node [above] at (hidden-\i.north) {$H_{\l}$};
\foreach \l [count=\i] in {1,16}
\draw [->] (output-\i) -- ++(1,0)
node [above, midway] {$O_{ \l}$};
\foreach \i in {1,...,4}
\foreach \j in {1,...,2}
\draw [->] (input-\i) -- (hidden-\j);
\foreach \i in {1,...,2}
\foreach \j in {1,...,2}
\draw [->] (hidden-\i) -- (output-\j);
%\foreach \l [count=\x from 0] in {Input, Hidden, Ouput}
% \node [align=center, above] at (\x*2,2) {\l \\ layer};
\end{tikzpicture}
\end{document}