committed by
GitHub
parent
6a4febb33a
commit
78ed2a67a2
@@ -1,6 +1,12 @@
|
||||
Tutorial: Two dimensional Poisson problem using Extra Features Learning
|
||||
=======================================================================
|
||||
|
||||
|Open In Colab|
|
||||
|
||||
.. |Open In Colab| image:: https://colab.research.google.com/assets/colab-badge.svg
|
||||
:target: https://colab.research.google.com/github/mathLab/PINA/blob/master/tutorials/tutorial2/tutorial.ipynb
|
||||
|
||||
|
||||
This tutorial presents how to solve with Physics-Informed Neural
|
||||
Networks (PINNs) a 2D Poisson problem with Dirichlet boundary
|
||||
conditions. We will train with standard PINN’s training, and with
|
||||
@@ -13,6 +19,15 @@ First of all, some useful imports.
|
||||
|
||||
.. code:: ipython3
|
||||
|
||||
## routine needed to run the notebook on Google Colab
|
||||
try:
|
||||
import google.colab
|
||||
IN_COLAB = True
|
||||
except:
|
||||
IN_COLAB = False
|
||||
if IN_COLAB:
|
||||
!pip install "pina-mathlab"
|
||||
|
||||
import torch
|
||||
from torch.nn import Softplus
|
||||
|
||||
|
||||
Reference in New Issue
Block a user