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