Metadata-Version: 1.0
Name: DeepComplexNetworks
Version: 1
Summary: UNKNOWN
Home-page: UNKNOWN
Author: UNKNOWN
Author-email: UNKNOWN
License: MIT
Description-Content-Type: UNKNOWN
Description: Deep Quaternionary Convolutional Neural Networks
        =====================
        
        This repository contains code which reproduces experiments presented in
        the paper ...
        
        Requirements
        ------------
        
        Install requirements for experiments with pip:
        ```
        pip install numpy tensorflow-gpu keras
        ```
        Depending on your Python installation you might want to use anaconda or other tools.
        
        
        Installation
        ------------
        
        ```
        python setup.py install
        ```
        
        Experiments
        -----------
        
        1. Get help:
        
            ```
            python scripts/run.py train --help
            ```
        
        2. Run models:
        
            ```
            python scripts/run.py train -w WORKDIR --model {real,complex,quaternion} --seg{chiheb,parcollet} --sf STARTFILTER --nb NUMBEROFBLOCKSPERSTAGE
            ```
        
            Other arguments may be added as well; Refer to run.py train --help for
            
              - Optimizer settings
              - Dropout rate
              - Clipping
              - ...
        
        Citation
        --------
        
        Please cite our work as 
        
        ```
        
        ```
        
Platform: UNKNOWN