# PlotNeuralNet
**Repository Path**: Lotayou/PlotNeuralNet
## Basic Information
- **Project Name**: PlotNeuralNet
- **Description**: Latex code for making neural networks diagrams
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-05-23
- **Last Updated**: 2020-12-19
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# PlotNeuralNet
[](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.
## TODO
- [X] Python interfaz
- [ ] Add easy legend functionality
- [ ] Add more layer shapes like TruncatedPyramid, 2DSheet etc
- [ ] Add examples for RNN and likes.
## Latex Usage
see examples
## PyUsage
mkdir my_project
cd my_project
vim my_arch.py
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()
bash ../tikzmake.sh my_arch
## Examples
Following are some network representations:
FCN-8
FCN-32
Holistically-Nested Edge Detection