该所有者的项目
(PlotNeuralNet
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.
Getting Started
- 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
-
- Execute the example as followed.
cd pyexamples/ bash ../tikzmake.sh test_simple
TODO
- 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
Examples
Following are some network representations: