message: doc review: More description for Perslay
diff: @@ -8,8 +8,11 @@ TensorFlow layer for representations
  .. include:: representations_sum.inc
  -`PersLay <http://proceedings.mlr.press/v108/carriere20a.html>`_ is a general neural network layer for performing deep
  -learning with persistence diagrams, implemented in TensorFlow.
  +`PersLay <http://proceedings.mlr.press/v108/carriere20a.html>`_ is a layer for neural network architectures that allows
  +to automatically learn the best representation to use for persistence diagrams in supervised machine learning during
  +training time. Its parameters allow to reproduce most of the known finite-dimensional representations (such as, e.g.,
  +landscapes and images), and can be combined to create even new ones, that are best suited for a given supervised
  +machine learning task with persistence diagrams. PersLay is implemented in TensorFlow.
  This `notebook <https://github.com/GUDHI/TDA-tutorial/blob/master/Tuto-GUDHI-perslay-visu.ipynb>`__ explains how to use
  PersLay.
  