https://github.com/alreadytakenjonas/plotneuralnet

Latex code for making neural networks diagrams

https://github.com/alreadytakenjonas/plotneuralnet

Science Score: 23.0%

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Repository

Latex code for making neural networks diagrams

Basic Info
  • Host: GitHub
  • Owner: AlreadyTakenJonas
  • License: mit
  • Default Branch: master
  • Size: 2.26 MB
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  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
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Fork of HarisIqbal88/PlotNeuralNet
Created over 3 years ago · Last pushed over 3 years ago

https://github.com/AlreadyTakenJonas/PlotNeuralNet/blob/master/

# PlotNeuralNet
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2526396.svg)](https://doi.org/10.5281/zenodo.2526396)

Latex code for drawing neural networks for reports and presentation. Have a look into examples to see how they are made. Additionally, lets consolidate any improvements that you make and fix any bugs to help more people with this code.

## Examples

Following are some network representations:

FCN-8 (view on Overleaf)

FCN-32 (view on Overleaf)

Holistically-Nested Edge Detection (view on Overleaf)
## Getting Started 1. Install the following packages on Ubuntu. * Ubuntu 16.04 ``` sudo apt-get install texlive-latex-extra ``` * Ubuntu 18.04.2 Base on this [website](https://gist.github.com/rain1024/98dd5e2c6c8c28f9ea9d), please install the following packages. ``` sudo apt-get install texlive-latex-base sudo apt-get install texlive-fonts-recommended sudo apt-get install texlive-fonts-extra sudo apt-get install texlive-latex-extra ``` * Windows 1. Download and install [MikTeX](https://miktex.org/download). 2. Download and install bash runner on Windows, recommends [Git bash](https://git-scm.com/download/win) or Cygwin(https://www.cygwin.com/) 2. Execute the example as followed. ``` cd pyexamples/ bash ../tikzmake.sh test_simple ``` ## TODO - [X] Python interface - [ ] Add easy legend functionality - [ ] Add more layer shapes like TruncatedPyramid, 2DSheet etc - [ ] Add examples for RNN and likes. ## Latex usage See [`examples`](examples) directory for usage. ## Python usage First, create a new directory and a new Python file: $ mkdir my_project $ cd my_project vim my_arch.py Add the following code to your new file: ```python import sys sys.path.append('../') from pycore.tikzeng import * # defined your arch arch = [ to_head( '..' ), to_cor(), to_begin(), to_Conv("conv1", 512, 64, offset="(0,0,0)", to="(0,0,0)", height=64, depth=64, width=2 ), to_Pool("pool1", offset="(0,0,0)", to="(conv1-east)"), to_Conv("conv2", 128, 64, offset="(1,0,0)", to="(pool1-east)", height=32, depth=32, width=2 ), to_connection( "pool1", "conv2"), to_Pool("pool2", offset="(0,0,0)", to="(conv2-east)", height=28, depth=28, width=1), to_SoftMax("soft1", 10 ,"(3,0,0)", "(pool1-east)", caption="SOFT" ), to_connection("pool2", "soft1"), to_end() ] def main(): namefile = str(sys.argv[0]).split('.')[0] to_generate(arch, namefile + '.tex' ) if __name__ == '__main__': main() ``` Now, run the program as follows: bash ../tikzmake.sh my_arch

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Jonas Eichhorn

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