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Generate a neural network architecture Image

Project description

Neural Network Visualizer

General Description

A module which creates a neural network with the given architecture(only Dense layers)


Before installation

Before installing the module, run the below command at your prompt to install the graphviz

$ sudo apt install graphviz

Normal installation

$ sudo pip3 install neuralnet-visualize

Development installation

$ git clone
$ cd nn_visualize

After installation

After installing the module, if you want to upgrade the module, run the below command.

sudo pip3 install neuralnet-visualize --upgrade

Future Works

  • Add Convolutional layers, Maxpooling, Flatten layers, LSTM's
  • Specific colors for activation functions
  • Specific colors for types of layers

Neural Network Visualizer Version History


  • Made it independent of tensorflow
  • Fixed some bugs


  • Fixed some bugs
  • Added more layers maxpooling, avgpooling, flatten
  • changed the shape of conv2d layer


  • Added class docstrings with examples
  • Added some more parameters for conv layer
  • Disabled custom addition of layers after from_tensorflow call


  • Added Conv layer, with kernel size parameter
  • Refactored add_layer function
  • Added Conv layer to from_tensorflow


  • Added some possible exceptions
  • Restructred basic functions in while initial import


  • Added documentation


  • Refactored summarize function
  • Added a code part which colors output layer to red
  • Added from_tensorflow method


  • Added more display orientations
  • Refactored the build network and add layer code
  • Added some more file extensions to which image can be saved
  • Added summarize function


  • Added colors to type of layers
  • Added Dense layers


Intial Version

  • Starting code

Project details

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neuralnet_visualize-0.2.0.tar.gz (6.2 kB view hashes)

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