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)
Installation
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 https://github.com/AnuragAnalog/nn_visualize.git
$ 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
0.2.2
- Added more docstring
- Can now be downloaded in py2
0.2.1
- Added title to the image
- Optimized some code
0.2.0
- Made it independent of tensorflow
- Fixed some bugs
0.1.4
- Fixed some bugs
- Added more layers maxpooling, avgpooling, flatten
- changed the shape of conv2d layer
0.1.3
- Added class docstrings with examples
- Added some more parameters for conv layer
- Disabled custom addition of layers after from_tensorflow call
0.1.2
- Added Conv layer, with kernel size parameter
- Refactored add_layer function
- Added Conv layer to from_tensorflow
0.1.1
- Added some possible exceptions
- Restructred basic functions in while initial import
0.1.0
- Added documentation
0.0.4
- Refactored summarize function
- Added a code part which colors output layer to red
- Added from_tensorflow method
0.0.3
- 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
0.0.2
- Added colors to type of layers
- Added Dense layers
0.0.1
Intial Version
- Starting code
Project details
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