deeplot

a library to display/visualize images of neural networks

Python Library aimed for displaying architecture image of neural networks.

*Low code

*Easy to use

This library has been built using opencv and matplotlib.

Table of Contents

• Installation
• Documentation
• Available Architectures
• Usage

Installation

Create a python virtual environment using venv or conda or pipenv etc. Once, you have the env ready, just use below command to get the installation going:

 pip install -m deeplot

The sources for deeplot can be downloaded from the Github repo_.

You can either clone the public repository:

git clone https://github.com/SimeraAI/deeplot.git

Once you have a copy of the source, you can install it with:

python setup.py install

Documentation

For complete Documentation with tutorials visit ReadTheDocs

Available Architectures

• ResNet
• DenseNet
• VGG
• MobileNet
• SqueezeNet
• Inception
• ResNeXt

Usage

from deeplot import deeplot

deeplot.VGG()
deeplot.GoogleNet()

Future Roadmap(Contributions are Welcome)

Add new Architectures include a visualization of the architecture include a util tool to convert the architecture to a graph