Parcollet Titouan / Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition

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  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