ANN Visualizer

A great visualization python library used to work with Keras. It uses python's graphviz library to create a presentable graph of the neural network you are building.

Installation

From Github

1. Download the ann_visualizer folder from the github repository.
2. Place the ann_visualizer folder in the same directory as your main python script.

From pip

Use the following command:

pip install ann_visualizer

Usage

from ann_visualizer.visualize import ann_viz;
#Build your model here
ann_viz(model)

Documentation

ann_viz(model, view=True, filename="network.gv", title="MyNeural Network")

• model - The Keras Sequential model
• view - If True, it opens the graph preview after executed
• filename - Where to save the graph. (.gv file format)
• title - A title for the graph

Example

import keras;
from keras.models import Sequential;
from keras.layers import Dense;

network = Sequential();
        #Hidden Layer#1
network.add(Dense(units=6,
                  activation='relu',
                  kernel_initializer='uniform',
                  input_dim=11));

        #Hidden Layer#2
network.add(Dense(units=6,
                  activation='relu',
                  kernel_initializer='uniform'));

        #Exit Layer
network.add(Dense(units=1,
                  activation='sigmoid',
                  kernel_initializer='uniform'));

from ann_visualizer.visualize import ann_viz;

ann_viz(network, title="");

This will output:

Contributions

This library is still unstable. Please report all bug to the issues section. It is currently tested with python3.5, but it should run just fine on any python3.