tikz: agregar anotaciones/conexiones entre nodos (por ejemplo, llaves) a una imagen TikZ

Question

Soy nuevo en dibujar látex. El siguiente es mi código:

\documentclass{article}

\usepackage{tikz}
\usepackage{verbatim}

% Basis: http://www.texample.net/tikz/examples/neural-network/
\begin{document}
\pagestyle{empty}

\def\layersep{2.5cm}

\begin{tikzpicture}[shorten >=1pt,->,draw=black!100, node distance=\layersep]
    \tikzstyle{every pin edge}=[<-,shorten <=1pt]
    \tikzstyle{neuron}=[circle,fill=black!25,minimum size=17pt,inner sep=0pt]
    \tikzstyle{input neuron}=[neuron, fill=white!100,draw=black];
    \tikzstyle{output neuron}=[neuron, fill=white!100,draw=black];
    \tikzstyle{hidden neuron}=[neuron, fill=white!100,draw=black];
    \tikzstyle{annot} = [text width=4em, text centered]

% Draw the input layer nodes
\foreach \name / \y in {1,...,3}
% This is the same as writing \foreach \name / \y in {1/1,2/2,3/3,4/4}
    \node[input neuron, pin=left:Word \y] (I-\name) at (0,-\y) {};

% Draw the hidden layer nodes
\foreach \name / \y in {1,...,3}
    \path[yshift=0cm]
        node[hidden neuron] (H-\name) at (\layersep,-\y cm) {};

% Draw the output layer node
\node[output neuron,pin={[pin edge={->}]right:Sentiment Result}, right of=H-2] (O1) {};

% Connect every node in the input layer with every node in the
% hidden layer.
\foreach \source in {1,...,3}
    \foreach \dest in {1,...,3}
        \path (I-\source) edge (H-\dest);

% Connect every node in the hidden layer with the output layer
\foreach \source in {1,...,3}
    \path (H-\source) edge (O1);


% Annotate the layers
\node[annot,above of=H-1, node distance=1cm] (hl) {Vector layer};
\node[annot,left of=hl] {Input layer};
\node[annot,right of=hl] {Output layer};

\end{tikzpicture}
% End of code
\end{document}

el resultado es este:

Quiero: agregar 2 notaciones entre capa de entrada, capa vectorial y capa de salida. Además, cambie Word 3 a Word n ​​y agregue puntos entre Word 2 y Word n.

¡Muchas gracias!

Answer 1

¿Como esto?

\documentclass[tikz, margin=3mm]{standalone}
\usetikzlibrary{chains, decorations.pathreplacing, positioning} 

\begin{document}
\def\layersep{2.5cm}

    \begin{tikzpicture}[ 
        node distance = 11mm and 22mm,
          start chain = going below,
every pin edge/.style = {<-, draw=black, shorten <=1pt},
        neuron/.style = {circle, draw, minimum size=17pt,inner sep=0pt,
                         node contents={}},
  input neuron/.style = {neuron, on chain},
         annot/.style = {text width=4em, text centered, node distance = 6mm},
        B/.style args = {#1/#2}{%B: Brace
            decorate,
            decoration={brace, amplitude=5pt,
                        pre=moveto,pre length=1pt,post=moveto,post length=1pt,
                        raise=#1,
                        #2,% for mirroring of brace
                        },
            thick},
                        ]
% input, hiden and output layer nodes
\foreach \i in {1,2,3}
{
    \node (ni\i) [input neuron, pin=left:Word \i];
    \node (nh\i) [neuron, right=of ni\i];
}
% output layer node
\node (out) [neuron,
             pin={[pin edge={->}]right:Sentiment Result},
             right=of nh2];
% Connections between nodes
\foreach \j in {1,2,3}
{
    \draw[->,shorten >=1pt] (ni\j) -- (nh\j);
    \draw[->,shorten >=1pt] (nh\j) -- (out);
}
% Annotate the layers 
\node (ai) [annot,above=of ni1.center] {Vector layer};
\node (ah) [annot,above=of nh1.center] {Input layer};
\node (ao) [annot,above=of nh1 -| out] {Output layer};
% braces
\draw[B=1mm/ ]  (ai.north) -- node[above=3mm] {notation 1} (ah.north);
\draw[B=1mm/ ]  (ah.north) -- node[above=3mm] {notation 2} (ao.north);
\end{tikzpicture}
\end{document}

Para la llave está destinada la biblioteca TikZ decorations.pathreplacing. Estilo para ellos que nombré B(como Brace). En comparación con su MWE en la definición de estilos obsoletos anterior se reemplaza por <style name>/.style = {...},, para los nodos se usan solo dos estilos ( neurony input neuron) que difieren solo en el uso de on chain. Se utiliza para la colocación más sencilla de nodos neuronales.