diff options
author | Norbert Preining <norbert@preining.info> | 2019-09-02 13:46:59 +0900 |
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committer | Norbert Preining <norbert@preining.info> | 2019-09-02 13:46:59 +0900 |
commit | e0c6872cf40896c7be36b11dcc744620f10adf1d (patch) | |
tree | 60335e10d2f4354b0674ec22d7b53f0f8abee672 /graphics/pgf/contrib/neuralnetwork/examples |
Initial commit
Diffstat (limited to 'graphics/pgf/contrib/neuralnetwork/examples')
-rw-r--r-- | graphics/pgf/contrib/neuralnetwork/examples/neural-networks-ebook.pdf | bin | 0 -> 594709 bytes | |||
-rw-r--r-- | graphics/pgf/contrib/neuralnetwork/examples/neuralnetwork.pdf | bin | 0 -> 30526 bytes | |||
-rw-r--r-- | graphics/pgf/contrib/neuralnetwork/examples/neuralnetwork.tex | 14 | ||||
-rw-r--r-- | graphics/pgf/contrib/neuralnetwork/examples/xor.pdf | bin | 0 -> 25058 bytes | |||
-rw-r--r-- | graphics/pgf/contrib/neuralnetwork/examples/xor.tex | 36 |
5 files changed, 50 insertions, 0 deletions
diff --git a/graphics/pgf/contrib/neuralnetwork/examples/neural-networks-ebook.pdf b/graphics/pgf/contrib/neuralnetwork/examples/neural-networks-ebook.pdf Binary files differnew file mode 100644 index 0000000000..fc49fb4130 --- /dev/null +++ b/graphics/pgf/contrib/neuralnetwork/examples/neural-networks-ebook.pdf diff --git a/graphics/pgf/contrib/neuralnetwork/examples/neuralnetwork.pdf b/graphics/pgf/contrib/neuralnetwork/examples/neuralnetwork.pdf Binary files differnew file mode 100644 index 0000000000..dc047783c5 --- /dev/null +++ b/graphics/pgf/contrib/neuralnetwork/examples/neuralnetwork.pdf diff --git a/graphics/pgf/contrib/neuralnetwork/examples/neuralnetwork.tex b/graphics/pgf/contrib/neuralnetwork/examples/neuralnetwork.tex new file mode 100644 index 0000000000..7112ef0810 --- /dev/null +++ b/graphics/pgf/contrib/neuralnetwork/examples/neuralnetwork.tex @@ -0,0 +1,14 @@ +\documentclass{standalone} + +\usepackage{neuralnetwork} + +\begin{document} + \begin{neuralnetwork}[height=4] + \newcommand{\nodetextclear}[2]{} + \newcommand{\nodetextx}[2]{$x_#2$} + \newcommand{\nodetexty}[2]{$y_#2$} + \inputlayer[count=4, bias=false, title=Input\\layer, text=\nodetextx] + \hiddenlayer[count=5, bias=false, title=Hidden\\layer, text=\nodetextclear] \linklayers + \outputlayer[count=3, title=Output\\layer, text=\nodetexty] \linklayers + \end{neuralnetwork} +\end{document} diff --git a/graphics/pgf/contrib/neuralnetwork/examples/xor.pdf b/graphics/pgf/contrib/neuralnetwork/examples/xor.pdf Binary files differnew file mode 100644 index 0000000000..62c3d9be56 --- /dev/null +++ b/graphics/pgf/contrib/neuralnetwork/examples/xor.pdf diff --git a/graphics/pgf/contrib/neuralnetwork/examples/xor.tex b/graphics/pgf/contrib/neuralnetwork/examples/xor.tex new file mode 100644 index 0000000000..30bfecc7a7 --- /dev/null +++ b/graphics/pgf/contrib/neuralnetwork/examples/xor.tex @@ -0,0 +1,36 @@ +\documentclass{standalone} + +\usepackage{neuralnetwork} + +\begin{document} + \begin{neuralnetwork}[height=2.5, layertitleheight=0, nodespacing=2.8cm, layerspacing=1.7cm] + \newcommand{\nodetextclear}[2]{} + \newcommand{\nodetextxnb}[2]{\ifnum0=#2 \else $x_#2$ \fi} + \newcommand{\logiclabel}[1]{\,{$\scriptstyle#1$}\,} + \newcommand{\nodetextY}[2]{$y$} + \newcommand{\linklabelsU}[4]{\logiclabel{+1}} + \newcommand{\linklabelsA}[4]{\ifnum0=#2 \logiclabel{+3} \else \logiclabel{-2} \fi} + \setdefaultnodetext{\nodetextclear} + % Input layer + \inputlayer[count=2, bias=false, text=\nodetextxnb] + % links to first hidden layer from input layer + \hiddenlayer[count=3, bias=false, exclude={1, 3}] + \link[from layer=0, to layer=1, from node=1, to node=2, label=\linklabelsA] + \link[from layer=0, to layer=1, from node=2, to node=2, label=\linklabelsA] + \hiddenlayer[count=2, bias=true, biaspos=center] + % links to second hidden layer from input and first hidden layer + \link[from layer=0, to layer=2, from node=1, to node=1, label=\linklabelsA] + \link[from layer=1, to layer=2, from node=2, to node=1, label=\linklabelsA] + \link[from layer=1, to layer=2, from node=2, to node=2, label=\linklabelsA] + \link[from layer=0, to layer=2, from node=2, to node=2, label=\linklabelsA] + \outputlayer[count=1, text=\nodetextY] + % links to output layer from second hidden layer + \link[from layer=2, to layer=3, from node=1, to node=1, label=\linklabelsA] + \link[from layer=2, to layer=3, from node=2, to node=1, label=\linklabelsA] + % links from bias node + \link[from layer=2, to layer=1, from node=0, to node=2, label=\linklabelsA] + \link[from layer=2, to layer=2, from node=0, to node=1, label=\linklabelsA] + \link[from layer=2, to layer=2, from node=0, to node=2, label=\linklabelsA] + \link[from layer=2, to layer=3, from node=0, to node=1, label=\linklabelsA] + \end{neuralnetwork} +\end{document} |