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\begin{frame}
\frametitle{Neural Network}
\centering
\newcommand{\inputnum}{4}
% Hidden layer neurons'number
\newcommand{\hiddennumA}{5}
\newcommand{\hiddennumB}{6}
% Output layer neurons'number
\newcommand{\outputnum}{4}
\begin{tikzpicture}
% Input Layer
\foreach \i in {1,...,\inputnum}
{
\node[circle,
minimum size = 6mm,
fill=blue!30] (Input-\i) at (0,-\i) {};
}
% Hidden Layer1
\foreach \i in {1,...,\hiddennumA}
{
\node[circle,
minimum size = 6mm,
fill=red!50,
yshift=(\hiddennumA-\inputnum)*5 mm
] (Hidden1-\i) at (2.5,-\i) {};
}
% Hidden Layer2
\foreach \i in {1,...,\hiddennumB}
{
\node[circle,
minimum size = 6mm,
fill=red!50,
yshift=(\hiddennumB-\inputnum)*5 mm
] (Hidden2-\i) at (5,-\i) {};
}
% Output Layer
\foreach \i in {1,...,\outputnum}
{
\node[circle,
minimum size = 6mm,
fill=green!50,
yshift=(\outputnum-\inputnum)*5 mm
] (Output-\i) at (7.5,-\i) {};
}
% Connect neurons In-Hidden
\foreach \i in {1,...,\inputnum}
{
\foreach \j in {1,...,\hiddennumA}
{
\draw[->, shorten >=1pt] (Input-\i) -- (Hidden1-\j);
}
}
% Connect neurons In-Hidden
\foreach \i in {1,...,\hiddennumA}
{
\foreach \j in {1,...,\hiddennumB}
{
\draw[->, shorten >=1pt] (Hidden1-\i) -- (Hidden2-\j);
}
}
% Connect neurons Hidden-Out
\foreach \i in {1,...,\hiddennumB}
{
\foreach \j in {1,...,\outputnum}
{
\draw[->, shorten >=1pt] (Hidden2-\i) -- (Output-\j);
}
}
% Inputs
\foreach \i in {1,...,\inputnum}
{
\draw[<-, shorten <=1pt] (Input-\i) -- ++(-1,0)
node[left]{\LARGE{$x_{\i}$}};
}
% Outputs
\foreach \i in {1,...,\outputnum}
{
\draw[->, shorten <=1pt] (Output-\i) -- ++(1,0)
node[right]{\LARGE{$y_{\i}$}};
}
\end{tikzpicture}
\end{frame}
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