update doc

docs/source/_tutorial.rst

@@ -1,46 +1,35 @@
 PINA Tutorials
-==============
+======================
+
 
 In this folder we collect useful tutorials in order to understand the principles and the potential of **PINA**.
 
 Getting started with PINA
 -------------------------
-.. toctree::
-   :maxdepth: 3
-   :titlesonly:
 
-   `Introduction to PINA for Physics Informed Neural Networks training <tutorials/tutorial1/tutorial.html>`_
-   `Introduction to PINA Equation class <tutorials/tutorial12/tutorial.html>`_
-   `PINA and PyTorch Lightning, training tips and visualizations <tutorials/tutorial11/tutorial.html>`_
-   `Building custom geometries with PINA Location class <tutorials/tutorial6/tutorial.html>`_
+- `Introduction to PINA for Physics Informed Neural Networks training <tutorial1/tutorial.html>`_
+- `Introduction to PINA Equation class <tutorial12/tutorial.html>`_
+- `PINA and PyTorch Lightning, training tips and visualizations <tutorial11/tutorial.html>`_
+- `Building custom geometries with PINA Location class <tutorial6/tutorial.html>`_
 
 
 Physics Informed Neural Networks
 --------------------------------
-.. toctree::
-   :maxdepth: 3
-   :titlesonly:
 
-   `Two dimensional Poisson problem using Extra Features Learning <tutorials/tutorial2/tutorial.html>`_
-   `Two dimensional Wave problem with hard constraint <tutorials/tutorial3/tutorial.html>`_
-   `Resolution of a 2D Poisson inverse problem <tutorials/tutorial7/tutorial.html>`_
-   `Periodic Boundary Conditions for Helmotz Equation <tutorials/tutorial9/tutorial.html>`_
-   `Multiscale PDE learning with Fourier Feature Network <tutorials/tutorial13/tutorial.html>`_
+- `Two dimensional Poisson problem using Extra Features Learning <tutorial2/tutorial.html>`_
+- `Two dimensional Wave problem with hard constraint <tutorial3/tutorial.html>`_
+- `Resolution of a 2D Poisson inverse problem <tutorial7/tutorial.html>`_
+- `Periodic Boundary Conditions for Helmotz Equation <tutorial9/tutorial.html>`_
+- `Multiscale PDE learning with Fourier Feature Network <tutorial13/tutorial.html>`_
 
 Neural Operator Learning
 ------------------------
-.. toctree::
-   :maxdepth: 3
-   :titlesonly:
 
-   `Two dimensional Darcy flow using the Fourier Neural Operator <tutorials/tutorial5/tutorial.html>`_
-   `Time dependent Kuramoto Sivashinsky equation using the Averaging Neural Operator <tutorials/tutorial10/tutorial.html>`_
+- `Two dimensional Darcy flow using the Fourier Neural Operator <tutorial5/tutorial.html>`_
+- `Time dependent Kuramoto Sivashinsky equation using the Averaging Neural Operator <tutorial10/tutorial.html>`_
 
 Supervised Learning
 -------------------
-.. toctree::
-   :maxdepth: 3
-   :titlesonly:
 
-   `Unstructured convolutional autoencoder via continuous convolution <tutorials/tutorial4/tutorial.html>`_
-   `POD-RBF and POD-NN for reduced order modeling <tutorials/tutorial8/tutorial.html>`_
+- `Unstructured convolutional autoencoder via continuous convolution <tutorial4/tutorial.html>`_
+- `POD-RBF and POD-NN for reduced order modeling <tutorial8/tutorial.html>`_