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author | Norbert Preining <norbert@preining.info> | 2021-06-23 03:01:05 +0000 |
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committer | Norbert Preining <norbert@preining.info> | 2021-06-23 03:01:05 +0000 |
commit | a809a190ff669feb11cb64db915b763abd0bed81 (patch) | |
tree | 6794c6d439e4e4afe002c5230493427c330b959e /graphics/pgf/contrib/nndraw/README | |
parent | 2a49c67eee870febe71143a093f3c304e0033153 (diff) |
CTAN sync 202106230301
Diffstat (limited to 'graphics/pgf/contrib/nndraw/README')
-rw-r--r-- | graphics/pgf/contrib/nndraw/README | 42 |
1 files changed, 42 insertions, 0 deletions
diff --git a/graphics/pgf/contrib/nndraw/README b/graphics/pgf/contrib/nndraw/README new file mode 100644 index 0000000000..35018d65c6 --- /dev/null +++ b/graphics/pgf/contrib/nndraw/README @@ -0,0 +1,42 @@ +NAME + nndraw -- a LaTeX package which provides utilities to draw neural networks + +VERSION + Version: 1.0 + +COPYRIGHT + Copyright (C) 2021 by Carlos Cardoso Dias <carlosdias.dev@gmail.com> + -------------------------------------------------------------------------- + This work may be distributed and/or modified under the + conditions of the LaTeX Project Public License, either version 1.3 + of this license or (at your option) any later version. + The latest version of this license is in + http://www.latex-project.org/lppl.txt + and version 1.3 or later is part of all distributions of LaTeX + version 2005/12/01 or later. + +DESCRIPTION + Draws fully connected neural networks in a simple and efficient way + +USAGE + Usage example: a fully connected neural network with input and output layers + and one hidden layer. + + \usepackage{nndraw} + \begin{document} + \begin{fullyconnectednn}[biasy = -4.5, + titley = 1, + inout = false] + \nnlayer[title = Input layer]{2} + \nnlayer[title = Hidden layer]{4} + \nnlayer[title = Ouput layer, hasbias = false]{1} + \end{fullyconnectednn} + \end{document} + +AUTHOR + Carlos Cardoso Dias + + E-mail: carlosdias.dev@gmail.com + + WWW: <https://carloscdias.com/> + |