Metadata-Version: 2.1
Name: tf-complex
Version: 0.0.2
Summary: TensorFlow utilities for complex neural networks.
Home-page: https://github.com/zaccharieramzi/tf-complex
Author: Zaccharie Ramzi
Author-email: zaccharie.ramzi@inria.fr
License: MIT
Download-URL: https://github.com/zaccharieramzi/tf-complex
Description: # tf-complex
        
        [![Build Status](https://travis-ci.com/zaccharieramzi/tf-complex.svg?branch=master)](https://travis-ci.com/zaccharieramzi/tf-complex)
        
        This package was inspired by the work of Elizabeth Cole et al.: [Image Reconstruction using an Unrolled DL Architecture including Complex-Valued Convolution and Activation Functions](https://arxiv.org/abs/2004.01738).
        Please cite their work appropriately if you use this package.
        The code for their work is available [here](https://github.com/MRSRL/complex-networks-release).
        
        ## Installation
        
        You can install `tf-complex` using pypi:
        
        ```
        pip install tf-complex
        ```
        
        ## Example use
        
        You can define a complex convolution in the following way to use in one of your models:
        
        ```python
        from tf_complex.convolutions import ComplexConv2D
        
        conv = ComplexConv2D(
          16,
          3,
          padding='same',
          activation='crelu',
        )
        ```
        
Keywords: complex,tensorflow
Platform: UNKNOWN
Classifier: Environment :: Console
Classifier: Natural Language :: English
Classifier: Development Status :: 4 - Beta
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.5
Description-Content-Type: text/markdown
