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. 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
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tf-complex-0.0.3.tar.gz | 5.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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
| Download URL | tf-complex-0.0.3.tar.gz |
|---|---|
| Size | 5.3 kB |
| Tags | Source |
|
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|
Release files / tf_complex-0.0.3-py3-none-any.whl
| Download URL | tf_complex-0.0.3-py3-none-any.whl |
|---|---|
| Size | 7.3 kB |
| Tags | Python 3 |
|
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