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* - :Since: GUDHI 3.6.0
- :License: MIT
- :Requires: `TensorFlow <installation.html#tensorflow>`_
We provide TensorFlow 2 models that can handle automatic differentiation for the computation of persistence diagrams from complexes available in the Gudhi library.
This includes simplex trees, cubical complexes and Vietoris-Rips complexes. Detailed example on how to use these layers in practice are available
in the following `notebook <https://github.com/GUDHI/TDA-tutorial/blob/master/Tuto-GUDHI-optimization.ipynb>`_. Note that even if TensorFlow GPU is enabled, all
internal computations using Gudhi will be done on CPU.
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