/PlotNeuralNet

Latex code for making neural networks diagrams with more layers like Dense, Dropout, Relu and More.

Primary LanguageTeXMIT LicenseMIT

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.

TODO

  • 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