PKG-INFO
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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