first version DP

physicalloss.md

@@ -6,6 +6,14 @@ yield approximate solutions with a fairly simple training process, but what's
 quite sad to see here is that we only use physical models and numerics
 as an "external" tool to produce a big pile of data 😢.
 
+```{figure} resources/placeholder.png
+---
+height: 220px
+name: pinn-training
+---
+TODO, visual overview of PINN training
+```
+
 ## Using Physical Models
 
 We can improve this setting by trying to bring the model equations (or parts thereof)
@@ -88,12 +96,4 @@ that we wish to find a solution of a model PDE for. Because of the high expense
 demonstrated in the following), the solution manifold typically shouldn't be overly complex. E.g., it is difficult 
 to capture a wide range of solutions, such as the previous supervised airfoil example, in this way.
 
-```{figure} resources/placeholder.png
----
-height: 220px
-name: pinn-training
----
-TODO, visual overview of PINN training
-```
-