我有一个神经网络，我正在尝试连接图中的最后几层。我尝试了几种方法，但到目前为止都没有奏效。此外，我在上部节点中为术语 B 加下标时遇到了问题，它们应该是 B_1、B_2 和 B_3 。如果您能给我提供任何帮助，我将不胜感激。
以下是我目前所掌握的信息：
\documentclass[11pt]{report}
\def\layersep{3cm}
\def\nodeinlayersep{1.5cm}
\begin{document}
\begin{tikzpicture}[
shorten >=1pt,->,
draw=black!50,
node distance=\layersep,
every pin edge/.style={<-,shorten <=1pt},
neuron/.style={circle,fill=black!25,minimum size=17pt,inner sep=0pt},
input neuron/.style={neuron,draw,circle, fill=white!50,},
output neuron/.style={neuron,draw,circle, fill=white!50},
hidden neuron/.style={neuron,draw,circle, fill=white!50},
annot/.style={text width=4em, text centered},
bias/.style={neuron,draw,circle, fill=white!50},%<-- added %%%
]
% Draw the input layer nodes
\foreach \name / \y in {1,...,3}
\node[input neuron] (I-\name) at (0,-\y-2.5) {$x_\y$};
% set number of hidden layers
\newcommand\Nhidden{2}
% Draw the hidden layer nodes
\foreach \N in {0,...,\Nhidden} {
\foreach \y in {0,...,5} { % <-- added 0 instead of 1 %%%%%
\ifnum \y=4
\ifnum \N>0 %<-- added %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\node at (\N*\layersep,-\y*\nodeinlayersep) {$\vdots$};
\else\fi %<-- added %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\else
\ifnum \y=0 %<-- added %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ifnum \N<3 %<-- added %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\node[bias] (H\N-\y) at (\N*\layersep,-\y*\nodeinlayersep ) {$B_{\pgfmathparse{\N+1}}$}; %<-- added
\else\fi %<-- added %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\else %<-- added %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ifnum \N>0 %<-- added %%%%%%%%%%%%%%%%%%%%%%%%%
\node[hidden neuron] (H\N-\y) at (\N*\layersep,-\y*\nodeinlayersep ) {}; %<-- added %%%%%%%%%%%
\else\fi %<-- added %%%%%%%%%%%%
\fi %<-- added %%%%%%%
\fi
}
\ifnum \N>0 %<-- added %%%%%%
\node[annot,above of=H\N-1, node distance=1cm,yshift=2cm] (hl\N) {Hidden layer \N}; % <- added yshift=2cm %%%%%%%%%%%%
\else\fi %<-- added %%%%%
}
% Draw the output layer node
\foreach \name / \y in {1,2}
\node[output neuron] (O-\name) at (3*\layersep,-\y-2.5) {};
% set number of hidden layers
% Connect every node in the input layer with every node in the
% hidden layer.
\foreach \source in {1,...,3}
\foreach \dest in {1,...,3,5} {
% \path[yellow] (H-0) edge (H1-\dest);
\path[dashed,black] (H0-0) edge (H1-\dest); %<-- added %%%%%
\path[black] (I-\source) edge (H1-\dest);};
% connect all hidden stuff
\foreach [remember=\N as \lastN (initially 1)] \N in {2,...,\Nhidden}
\foreach \source in {0,...,3,5}
\foreach \dest in {1,...,3,5}{
\ifnum \source=0 %<-- added %%%%%%%%%%%%%%%%%%%%%%%
\path[dashed,black](H\lastN-\source) edge (H\N-\dest);%<-- added
\else %<-- added %%%
\path[black] (H\lastN-\source) edge (H\N-\dest);%<-- added
\fi %<-- added %%%
}; %<-- added %%%%
% Connect every node in the hidden layer with the output layer
% Annotate the layers
\node[annot,left of=hl1] {Input layer};
\node[annot,right of=hl\Nhidden] {Output layer};
\end{tikzpicture}
\end{document}
答案1
这是一个最小损害的提议。\pgfmathparse仅解析，您可以\the\numexpr\N+1在这里使用。
\documentclass[tikz,border=3mm]{standalone}
\begin{document}
\begin{tikzpicture}[
shorten >=1pt,->,
draw=black!50,
node distance=\layersep,
every pin edge/.style={<-,shorten <=1pt},
neuron/.style={circle,fill=black!25,minimum size=17pt,inner sep=0pt},
input neuron/.style={neuron,draw,circle, fill=white!50,},
output neuron/.style={neuron,draw,circle, fill=white!50},
hidden neuron/.style={neuron,draw,circle, fill=white!50},
annot/.style={text width=4em, text centered},
bias/.style={neuron,draw,circle, fill=white!50},%<-- added %%%
]
\def\layersep{3cm}
\def\nodeinlayersep{1.5cm}
% Draw the input layer nodes
\foreach \name / \y in {1,...,3}
\node[input neuron] (I-\name) at (0,-\y-2.5) {$x_\y$};
% set number of hidden layers
\newcommand\Nhidden{2}
% Draw the hidden layer nodes
\foreach \N in {0,...,\Nhidden} {
\foreach \y in {0,...,5} { % <-- added 0 instead of 1 %%%%%
\ifnum \y=4
\ifnum \N>0 %<-- added %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\node at (\N*\layersep,-\y*\nodeinlayersep) {$\vdots$};
\else\fi %<-- added %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\else
\ifnum \y=0 %<-- added %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ifnum \N<3 %<-- added %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\node[bias] (H\N-\y) at (\N*\layersep,-\y*\nodeinlayersep )
{$B_{\the\numexpr\N+1}$}; %<-- added
\else\fi %<-- added %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\else %<-- added %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\ifnum \N>0 %<-- added %%%%%%%%%%%%%%%%%%%%%%%%%
\node[hidden neuron] (H\N-\y) at (\N*\layersep,-\y*\nodeinlayersep ) {}; %<-- added %%%%%%%%%%%
\else\fi %<-- added %%%%%%%%%%%%
\fi %<-- added %%%%%%%
\fi
}
\ifnum \N>0 %<-- added %%%%%%
\node[annot,above of=H\N-1, node distance=1cm,yshift=2cm] (hl\N) {Hidden layer \N}; % <- added yshift=2cm %%%%%%%%%%%%
\else\fi %<-- added %%%%%
}
% Draw the output layer node
\foreach \name / \y in {1,2}
\node[output neuron] (O-\name) at (3*\layersep,-\y-2.5) {};
% set number of hidden layers
% Connect every node in the input layer with every node in the
% hidden layer.
\foreach \source in {1,...,3}
\foreach \dest in {1,...,3,5} {
% \path[yellow] (H-0) edge (H1-\dest);
\path[dashed,black] (H0-0) edge (H1-\dest); %<-- added %%%%%
\path[black] (I-\source) edge (H1-\dest);};
% connect all hidden stuff
\foreach [remember=\N as \lastN (initially 1)] \N in {2,...,\Nhidden}
\foreach \source in {0,...,3,5}
\foreach \dest in {1,...,3,5}{
\ifnum \source=0 %<-- added %%%%%%%%%%%%%%%%%%%%%%%
\path[dashed,black](H\lastN-\source) edge (H\N-\dest);%<-- added
\else %<-- added %%%
\path[black] (H\lastN-\source) edge (H\N-\dest);%<-- added
\fi %<-- added %%%
}; %<-- added %%%%
% Connect every node in the hidden layer with the output layer
\foreach \X in {1,2}
{\foreach \source in {0,...,3,5}
\path[black] (H\Nhidden-\source) edge (O-\X);}
% Annotate the layers
\node[annot,left of=hl1] {Input layer};
\node[annot,right of=hl\Nhidden] {Output layer};
\end{tikzpicture}
\end{document}
如果你将最后一个循环替换为
\foreach \X in {1,2}
{\foreach \source in {0,...,3,5}
\path[black] \ifnum\source=0
[dashed]
\fi
(H\Nhidden-\source) edge (O-\X);}
你得到
