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Author: JesperDramsch

README.md

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 # Complex-Valued Neural Networks in Keras with Tensorflow
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+[![Documentation](https://readthedocs.org/projects/keras-complex/badge/?version=latest)](https://keras-complex.readthedocs.io/) [![Build Status](https://github.com/JesperDramsch/keras-complex/actions/workflows/test_python.yml/badge.svg)](https://github.com/JesperDramsch/keras-complex/actions/) [![PyPI Versions](https://img.shields.io/pypi/pyversions/keras-complex.svg)](https://pypi.python.org/pypi/keras-complex) ![Tensorflow 2+](https://img.shields.io/badge/tensorflow-%3E2.0-orange) ![PyPI - Downloads](https://img.shields.io/pypi/dm/keras-complex)  [![PyPI Status](https://img.shields.io/pypi/status/keras-complex.svg)](https://pypi.python.org/pypi/keras-complex) [![PyPI License](https://img.shields.io/badge/License-MIT-green)](LICENSCE.md)
 
 [Complex-valued convolutions](https://en.wikipedia.org/wiki/Convolution#Domain_of_definition) could provide some interesting results in signal processing-based deep learning. A simple(-ish) idea is including explicit phase information of time series in neural networks. This code enables complex-valued convolution in convolutional neural networks in [keras](https://keras.io) with the [TensorFlow](https://tensorflow.org/) backend. This makes the network modular and interoperable with standard keras layers and operations.