Metadata-Version: 2.1
Name: neuralnet_visualize
Version: 0.1.4
Summary: Generate a neural network architecture Image
Home-page: https://github.com/AnuragAnalog/nn_visualize
Author: Anurag Peddi
Author-email: anurag.peddi1998@gmail.com
License: Apache License 2.0
Download-URL: https://pypi.org/project/neuralnet-visualize/
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
        ```shell
        $ sudo apt install graphviz
        ```
        
        ### Normal installation
        ```shell
        $ sudo pip3 install neuralnet-visualize
        ```
        
        ### Development installation
        ```shell
        $ 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.
        ```shell
        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
        
        ### 0.1.4
        
        * 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
Keywords: Deep,Visualizer,Neural,Network,Visualize,Graphviz,Python
Platform: UNKNOWN
Classifier: Natural Language :: English
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6
Description-Content-Type: text/markdown
