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Diffstat (limited to 'src/python/doc/differentiation_sum.inc')
| -rw-r--r-- | src/python/doc/differentiation_sum.inc | 22 |
1 files changed, 9 insertions, 13 deletions
diff --git a/src/python/doc/differentiation_sum.inc b/src/python/doc/differentiation_sum.inc index 30188e0b..7340d24d 100644 --- a/src/python/doc/differentiation_sum.inc +++ b/src/python/doc/differentiation_sum.inc @@ -1,14 +1,10 @@ -.. table:: - :widths: 30 40 30 +. list-table:: + :widths: 40 30 30 + :header-rows: 0 - +------------------------------------------------------------------+----------------------------------------------------------------+-------------------------------------------------------------+ - | .. figure:: | Deep learning models for differentiating persistence diagrams. | :Author: Mathieu Carrière | - | img/ripsTF.png | | | - | | | :Since: GUDHI 3.1.0 | - | | | | - | | | :License: MIT | - | | | | - | | | :Requires: `TensorFlow 2 <installation.html#tensorflow>`_ | - +------------------------------------------------------------------+----------------------------------------------------------------+-------------------------------------------------------------+ - | * :doc:`differentiation` | - +------------------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------+ + * - :Since: GUDHI 3.5.0 + - :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. |