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Diffstat (limited to 'src/python/doc/differentiation_sum.inc')
| -rw-r--r-- | src/python/doc/differentiation_sum.inc | 12 |
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diff --git a/src/python/doc/differentiation_sum.inc b/src/python/doc/differentiation_sum.inc new file mode 100644 index 00000000..140cf180 --- /dev/null +++ b/src/python/doc/differentiation_sum.inc @@ -0,0 +1,12 @@ +.. list-table:: + :width: 100% + :header-rows: 0 + + * - :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. |