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