☰

TikZ: anota bordes con distribuciones de red neuronal bayesiana

tag-icon • tag-icon tikz-pgf standalone annotations edge
TikZ: anota bordes con distribuciones de red neuronal bayesiana

¿Existe alguna forma de anotar bordes en TikZ con "distribuciones" como en la mitad derecha de esta imagen que ilustra la diferencia entre una red neuronal regular y una bayesiana?

ingrese la descripción de la imagen aquí

Esto es lo que tengo hasta ahora.

ingrese la descripción de la imagen aquí

\documentclass[tikz]{standalone}

\def\layersep{2.5cm}

\begin{document}
\begin{tikzpicture}[shorten >=1pt,->,draw=black!50, node distance=\layersep]
    \tikzstyle{neuron}=[circle,fill=black!25,minimum size=17pt,inner sep=0pt]
    \tikzstyle{input neuron}=[neuron, fill=green!40];
    \tikzstyle{output neuron}=[neuron, fill=red!40];
    \tikzstyle{hidden neuron}=[neuron, fill=blue!40];

    % Input layer
    \foreach \name / \y in {1,...,2}
        \node[input neuron] (I-\name) at (0,0.5-2*\y) {$i\y$};

    % Hidden layer
    \foreach \name / \y in {1,...,5}
        \path[yshift=0.5cm]
            node[hidden neuron] (H-\name) at (2.5,-\y cm) {$h\y$};

    % Output node
    \node[output neuron, right of=H-3] (O) {$o$};

    % Connect every node in the input layer with every node in the hidden layer.
    \foreach \source in {1,...,2}
        \foreach \dest in {1,...,5}
            \path (I-\source) edge (H-\dest);

    % Connect every node in the hidden layer with the output layer
    \foreach \source in {1,...,5}
        \path (H-\source) edge (O);

    \begin{scope}[xshift=7cm]
      \tikzstyle{neuron}=[circle,fill=black!25,minimum size=17pt,inner sep=0pt]
      \tikzstyle{input neuron}=[neuron, fill=green!40];
      \tikzstyle{output neuron}=[neuron, fill=red!40];
      \tikzstyle{hidden neuron}=[neuron, fill=blue!40];

      % Input layer
      \foreach \name / \y in {1,...,2}
          \node[input neuron] (I-\name) at (0,0.5-2*\y) {$i\y$};

      % Hidden layer
      \foreach \name / \y in {1,...,5}
          \path[yshift=0.5cm]
              node[hidden neuron] (H-\name) at (2.5,-\y cm) {$h\y$};

      % Output node
      \node[output neuron, right of=H-3] (O) {$o$};

      % Connect every node in the input layer with every node in the hidden layer.
      \foreach \source in {1,...,2}
          \foreach \dest in {1,...,5}
              \path (I-\source) edge (H-\dest);

      % Connect every node in the hidden layer with the output layer
      \foreach \source in {1,...,5}
          \path (H-\source) edge (O);
    \end{scope}
\end{tikzpicture}
\end{document}

Respuesta1

Seguro. Puede simplemente agregar un nodo con una imagen de ruta que trace la función. Para su comodidad, esto viene con un estilo graphque puede usarse como

\path (I-1) -- (H-1) node[graph={-0.3+0.6*exp(-6*\t*\t)}];

Es decir, todo lo que necesitas hacer es especificar la función. Si utiliza funciones muy similares una y otra vez, podría utilizarlas declare functionpara hacerle la vida más fácil.

\documentclass[tikz]{standalone}

\def\layersep{2.5cm}

\begin{document}
\begin{tikzpicture}[shorten >=1pt,->,draw=black!50, node distance=\layersep,
    neuron/.style={circle,fill=black!25,minimum size=17pt,inner sep=0pt},
    input neuron/.style={neuron, fill=green!40},
    output neuron/.style={neuron, fill=red!40},
    hidden neuron/.style={neuron, fill=blue!40},
    graph/.style={node contents={},midway,minimum size=1.1cm,
     path picture={\draw[double=orange,white,thick,double distance=1pt,shorten
     >=0pt]      plot[variable=\t,domain=-0.5:0.5,samples=51] 
     ({\t},{#1});}}]

    % Input layer
    \foreach \name / \y in {1,...,2}
        \node[input neuron] (I-\name) at (0,0.5-2*\y) {$i\y$};

    % Hidden layer
    \foreach \name / \y in {1,...,5}
        \path[yshift=0.5cm]
            node[hidden neuron] (H-\name) at (2.5,-\y cm) {$h\y$};

    % Output node
    \node[output neuron, right of=H-3] (O) {$o$};

    % Connect every node in the input layer with every node in the hidden layer.
    \foreach \source in {1,...,2}
        \foreach \dest in {1,...,5}
            \path (I-\source) edge (H-\dest);

    % Connect every node in the hidden layer with the output layer
    \foreach \source in {1,...,5}
        \path (H-\source) edge (O);

    \begin{scope}[xshift=7cm]

      % Input layer
      \foreach \name / \y in {1,...,2}
          \node[input neuron] (I-\name) at (0,0.5-2*\y) {$i\y$};

      % Hidden layer
      \foreach \name / \y in {1,...,5}
          \path[yshift=0.5cm]
              node[hidden neuron] (H-\name) at (2.5,-\y cm) {$h\y$};

      % Output node
      \node[output neuron, right of=H-3] (O) {$o$};

      % Connect every node in the input layer with every node in the hidden layer.
      \foreach \source in {1,...,2}
          \foreach \dest in {1,...,5}
              \path (I-\source) edge (H-\dest);

      % Connect every node in the hidden layer with the output layer
      \foreach \source in {1,...,5}
          \path (H-\source) edge (O);
     \path (I-1) -- (H-1) node[graph={-0.3+0.6*exp(-6*\t*\t)}];
     \path (I-2) -- (H-2) node[graph={-0.3+0.6*exp(-25*(\t+0.15)*(\t+0.15))}];
    \end{scope}
\end{tikzpicture}
\end{document}

ingrese la descripción de la imagen aquí

Como alternativa, es posible que desee utilizar un archivo pic. La sintaxis es muy similar, pero a veces piclos mensajes de correo electrónico son menos dañinos (aunque tampoco vienen con todos los anclajes predefinidos). Si tiene problemas con lo anterior, utilice pics en su lugar.

\documentclass[tikz]{standalone}

\def\layersep{2.5cm}

\begin{document}
\begin{tikzpicture}[shorten >=1pt,->,draw=black!50, node distance=\layersep,
    neuron/.style={circle,fill=black!25,minimum size=17pt,inner sep=0pt},
    input neuron/.style={neuron, fill=green!40},
    output neuron/.style={neuron, fill=red!40},
    hidden neuron/.style={neuron, fill=blue!40},
    pics/graph/.style={code={\draw[double=orange,white,thick,double distance=1pt,shorten
     >=0pt]      plot[variable=\t,domain=-0.5:0.5,samples=51] 
     ({\t},{#1});}}]

    % Input layer
    \foreach \name / \y in {1,...,2}
        \node[input neuron] (I-\name) at (0,0.5-2*\y) {$i\y$};

    % Hidden layer
    \foreach \name / \y in {1,...,5}
        \path[yshift=0.5cm]
            node[hidden neuron] (H-\name) at (2.5,-\y cm) {$h\y$};

    % Output node
    \node[output neuron, right of=H-3] (O) {$o$};

    % Connect every node in the input layer with every node in the hidden layer.
    \foreach \source in {1,...,2}
        \foreach \dest in {1,...,5}
            \path (I-\source) edge (H-\dest);

    % Connect every node in the hidden layer with the output layer
    \foreach \source in {1,...,5}
        \path (H-\source) edge (O);

    \begin{scope}[xshift=7cm]

      % Input layer
      \foreach \name / \y in {1,...,2}
          \node[input neuron] (I-\name) at (0,0.5-2*\y) {$i\y$};

      % Hidden layer
      \foreach \name / \y in {1,...,5}
          \path[yshift=0.5cm]
              node[hidden neuron] (H-\name) at (2.5,-\y cm) {$h\y$};

      % Output node
      \node[output neuron, right of=H-3] (O) {$o$};

      % Connect every node in the input layer with every node in the hidden layer.
      \foreach \source in {1,...,2}
          \foreach \dest in {1,...,5}
              \path (I-\source) edge (H-\dest);

      % Connect every node in the hidden layer with the output layer
      \foreach \source in {1,...,5}
          \path (H-\source) edge (O);
     \path (I-1) -- (H-1) pic[midway]{graph={-0.3+0.6*exp(-6*\t*\t)}};
     \path (I-2) -- (H-2) pic[midway]{graph={-0.3+0.6*exp(-25*(\t+0.15)*(\t+0.15))}};
    \end{scope}
\end{tikzpicture}
\end{document}

Respuesta2

Después de tomar el usuario121799gran sugerenciapara usar plotdentro de un nodo a lo largo de cada borde y luego limpiar un poco el código para mantenerlo seco, esto es con lo que terminé.

ingrese la descripción de la imagen aquí

\documentclass[tikz]{standalone}

\usetikzlibrary{calc}

\def\layersep{2.5cm}
\newcommand\nn[1]{
    % Input layer
    \foreach \y in {1,...,2}
        \node[neuron, fill=green!40] (i\y-#1) at (0,\y+1) {$i\y$};

    % Hidden layer
    \foreach \y in {1,...,4}
        \path node[neuron, fill=blue!40] (h\y-#1) at (\layersep,\y) {$h\y$};

    % Output node
    \node[neuron, fill=red!40] (o-#1) at (2*\layersep,2.5) {$o$};

    % Connect every node in the input layer with every node in the hidden layer.
    \foreach \source in {1,...,2}
        \foreach \dest in {1,...,4}
            \path (i\source-#1) edge (h\dest-#1);

    % Connect every node in the hidden layer with the output layer
    \foreach \source in {1,...,4}
        \path (h\source-#1) edge (o-#1);
}

\begin{document}
\begin{tikzpicture}[
    shorten >=1pt,->,draw=black!70, node distance=\layersep,
    neuron/.style={circle,fill=black!25,minimum size=20,inner sep=0},
    edge/.style 2 args={pos={(mod(#1+#2,2)+1)*0.33}, font=\tiny},
    distro/.style 2 args={
        edge={#1}{#2}, node contents={}, minimum size=0.6cm, path picture={\draw[double=orange,white,thick,double distance=1pt,shorten >=0pt] plot[variable=\t,domain=-1:1,samples=51] ({\t},{0.2*exp(-100*(\t-0.05*(#1-1))^2 - 3*\t*#2))});}
    },
    weight/.style 2 args={
        edge={#1}{#2}, node contents={\pgfmathparse{0.35*#1-#2*0.15}\pgfmathprintnumber[fixed]{\pgfmathresult}}, fill=white, inner sep=2pt
    }
]
    \nn{regular}

    \begin{scope}[xshift=7cm]
        \nn{bayes}
    \end{scope}

    % Draw weights for all regular edges.    
    \foreach \i in {1,...,2}
        \foreach \j in {1,...,4}
            \path (i\i-regular) -- (h\j-regular) node[weight={\i}{\j}];
    \foreach \i in {1,...,4}
        \path (h\i-regular) -- (o-regular) node[weight={\i}{1}];

    % Draw distros for all Bayesian edges.
    \foreach \i in {1,...,2}
        \foreach \j in {1,...,4}
            \path (i\i-bayes) -- (h\j-bayes) node[distro={\i}{\j}];
    \foreach \i in {1,...,4}
        \path (h\i-bayes) -- (o-bayes) node[distro={\i}{1}];
\end{tikzpicture}
\end{document}

información relacionada