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Add neural networks

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Martin Thoma 2016-02-12 23:32:01 +01:00
parent 2d49f93b4d
commit 23e30e1351
8 changed files with 163 additions and 0 deletions

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SOURCE = hopfield-network
DELAY = 80
DENSITY = 300
WIDTH = 512
make:
pdflatex $(SOURCE).tex -output-format=pdf
make clean
clean:
rm -rf $(TARGET) *.class *.html *.log *.aux *.data *.gnuplot
gif:
pdfcrop $(SOURCE).pdf
convert -verbose -delay $(DELAY) -loop 0 -density $(DENSITY) $(SOURCE)-crop.pdf $(SOURCE).gif
make clean
png:
make
make svg
inkscape $(SOURCE).svg -w $(WIDTH) --export-png=$(SOURCE).png
transparentGif:
convert $(SOURCE).pdf -transparent white result.gif
make clean
svg:
make
#inkscape $(SOURCE).pdf --export-plain-svg=$(SOURCE).svg
pdf2svg $(SOURCE).pdf $(SOURCE).svg
# Necessary, as pdf2svg does not always create valid svgs:
inkscape $(SOURCE).svg --export-plain-svg=$(SOURCE).svg
rsvg-convert -a -w $(WIDTH) -f svg $(SOURCE).svg -o $(SOURCE)2.svg
inkscape $(SOURCE)2.svg --export-plain-svg=$(SOURCE).svg
rm $(SOURCE)2.svg

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Compiled example
----------------
![Example](hopfield-network.png)

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\documentclass[varwidth=true, border=2pt]{standalone}
\usepackage{tikz}
\tikzstyle{neuron}=[draw,circle,minimum size=20pt,inner sep=0pt, fill=white]
\tikzstyle{stateTransition}=[very thick]
\tikzstyle{learned}=[text=red]
\begin{document}
\newcommand\n{5}
\begin{tikzpicture}[scale=1.3]
\begin{scope}[rotate=17]
%the multiplication with floats is not possible. Thus I split the loop in two.
\foreach \number in {1,...,\n}{
\node[neuron] (N-\number) at ({\number*(360/\n)}:1.5cm) {$x_\number$};
}
\foreach \number in {1,...,\n}{
\foreach \y in {1,...,\n}{
\draw[stateTransition] (N-\number) -- (N-\y);
}
}
\end{scope}
\begin{scope}[rotate=-1]
\draw[learned,stateTransition] (N-1) -- (N-2) node [midway,above=-0.15cm,sloped] {$w_{1,2}$};
\draw[learned,stateTransition] (N-1) -- (N-5) node [midway,above=-0.15cm,sloped] {$w_{1,5}$};
\end{scope}
\end{tikzpicture}
\end{document}