TF complex channels contains a set of utility tools for working with complex numbers in a channel oriented way.
This approach is proposed and described in this blog post.
The primary purpose of this library and approach is to allow the community to push forward with academic research on complex number neural networks without waiting on ml library development.
If an operation you want is not supported, please submit an issue or open a pull request
import tf_complex_channels
print(x.dtype)
# > tf.complex64
print(x.shape)
# > (1, 2, 3)
x = complex_to_channels(x)
print(x.dtype)
# > tf.float64
print(x.shape)
# > (1, 2, 3, 2)
FAQs
A library to work with complex number deep learning.
We found that tf-complex-channels demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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