Awesome Open Source
Awesome Open Source

PlotNeuralNet

DOI

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, 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.
    2. Download and install bash runner on Windows, recommends Git bash 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 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:

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


Alternative Project Comparisons
Related Awesome Lists
Top Programming Languages
Top Projects

Get A Weekly Email With Trending Projects For These Topics
No Spam. Unsubscribe easily at any time.
Network (37,612
Tex (19,873
Neural (16,676
Latex (10,164
Diagram (5,652
Deep Neural Networks (3,892
Fcn (660