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tf-complex

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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. Please cite their work appropriately if you use this package. The code for their work is available here.

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:

from tf_complex.convolutions import ComplexConv2D

conv = ComplexConv2D(
  16,
  3,
  padding='same',
  activation='crelu',
)

Release files for tf-complex 0.0.3

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Source distribution for tf-complex 0.0.3
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Table of built distributions (wheels) for tf-complex 0.0.3
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tf_complex-0.0.3-py3-none-any.whl Python 3 none any Details

Total release size: 12.6 kB

Release files / tf-complex-0.0.3.tar.gz

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0.0.3 This release

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