Complex-valued convolutions 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 with the TensorFlow backend. This makes the network modular and interoperable with standard keras layers and operations.
This code is very much in Alpha. Please consider helping out improving the code to advance together. This repository is based on the code which reproduces experiments presented in the paper Deep Complex Networks. It is a port to Keras with Tensorflow-backend.
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